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MARC Lista (tabellare)
Handbook of nature-inspired optimization algorithms . Volume II Solving contrained single objective real-parameter optimization problems : the state of the art / / Ali Wagdy Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan, editors
Handbook of nature-inspired optimization algorithms . Volume II Solving contrained single objective real-parameter optimization problems : the state of the art / / Ali Wagdy Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (220 pages)
Disciplina 519.3
Collana Studies in systems, decision and control
Soggetto topico Mathematical optimization
Nature-inspired algorithms
ISBN 3-031-07516-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Particle Swarm Optimization Based Optimization for Industry Inspection -- 1 Introduction -- 2 Image Acquisition, Feature Extraction and Processing -- 2.1 Gabor Feature Extraction and Image Processing -- 3 Experimental Process and Results -- 3.1 Effect with Different Iterations of Parameter Optimization Using PSO -- 4 Conclusion -- References -- Ant Algorithms: From Drawback Identification to Quality and Speed Improvement -- 1 Introduction -- 2 Classic Ant Algorithms -- 3 Ant Algorithms and Truck Loading -- 4 Ant Algorithms and Job Scheduling -- 5 Ant Algorithms and Graph Coloring -- 6 Conclusion -- References -- Fault Location Techniques Based on Traveling Waves with Application in the Protection of Distribution Systems with Renewable Energy and Particle Swarm Optimization -- 1 Introduction -- 2 Basic Principle of Fault Determination -- 2.1 Fault Section Determination -- 3 Determination of the Interphase Short Circuit Fault Location -- 4 Traveling Waves -- 4.1 Wavelet Transform -- 5 Fundamentals of Particle Swarm Optimization -- 6 Determination of Fault Location for Electric Power Distribution Networks with DGs -- 6.1 Dynamic Protection Suitable for the High Incorporation of Renewable Energy Sources into the Electric Energy Distribution System -- 6.2 Microgrid Protection with High Incorporation of Renewable Energies -- 7 Applicability of Dynamic Protection Based on Traveling Waves in Electrical Systems with High Incorporation of Renewable Energy Sources -- 8 Particle Swarm Optimization Algorithm -- 9 Future Applications -- 10 Conclusion -- References -- Improved Particle Swarm Optimization and Non-quadratic Penalty Method for Non-linear Programming Problems with Equality Constraints -- 1 Introduction -- 1.1 Penalty Function Method -- 1.2 Penalty Function -- 2 Particle Swarm Optimization -- 2.1 Improvements in PSO.
3 Methodology -- 4 Parameter Setup -- 5 Experimental Setup -- 6 Conclusion -- 7 Future Work -- References -- Recent Trends in Face Recognition Using Metaheuristic Optimization -- 1 Introduction -- 2 Metaheuristic Optimization Approaches -- 2.1 Genetic Algorithms (GAs) -- 2.2 Particle Swarm Optimization (PSO) -- 2.3 Ant Colony Optimization (ACO) -- 2.4 Bacterial Foraging Optimization Algorithm (BFOA) -- 2.5 Firefly Algorithm (FA) -- 3 Biometrics Modalities -- 3.1 Face Recognition System -- 3.2 Performance Metrics -- 4 Face Recognition Based Optimization Approaches -- 5 Databases and Discussion -- 5.1 Databases -- 5.2 Discussion -- 5.3 Future Trends -- 6 Conclusion -- References -- Chaos Game Optimization Algorithm with Crossover Operator for Solving Constraint Engineering Optimization Problems -- 1 Introduction -- 2 Chaos Game Optimization (CGO) -- 3 Crossover Based Chaos Game Optimization (CrCGO) -- 4 Numerical Results -- 4.1 Benchmark Optimization Problems -- 4.2 Contender Methods -- 4.3 Evaluation Criteria -- 4.4 Non-parametric Statistical Tests -- 4.5 Results and Discussions -- 5 Conclusion -- References -- UAV-Assisted IoT Data Collection Optimization Using Gaining-Sharing Knowledge Algorithm -- 1 Introduction -- 2 System Model and Problem Formulation -- 3 Gaining-sharing Knowledge (GSK) Algorithm -- 4 Results and Discussion -- 5 Conclusion -- References -- Energy Aware Tikhonov-Regularized FPA Technique for Task Scheduling in Wearable Biomedical Devices -- 1 Introduction -- 2 Wearable Biomedical System Overview -- 3 Problem Formulation -- 3.1 Objective Function -- 3.2 Tikhonov Regularization and Operation Constraints -- 3.3 Flower Pollination Optimization Algorithm -- 4 Experiments and Discussion -- 4.1 Energy Consumption Profiling -- 4.2 Parameters Setup and Trials -- 5 Conclusion -- References.
Material Generation Algorithm Combined with Epsilon Constraint Handling Scheme for Engineering Optimization -- 1 Introduction -- 2 Material Generation Algorithm -- 3 Problem Statement -- 3.1 Constrained Optimization -- 3.2 Constraint Handling -- 4 Engineering Design Problems of CEC 2020 -- 5 Numerical Investigations -- 6 Conclusion -- References -- Optimum Design of Truss Structures with Atomic Orbital Search Considering Discrete Design Variables -- 1 Introduction -- 2 Atomic Orbital Search -- 3 Problem Statement -- 4 Numerical Investigations -- 4.1 10-Bar Truss Structure -- 4.2 25-Bar Truss Structure -- 4.3 52-Bar Truss Structure -- 4.4 160-Bar Truss Structure -- 5 Conclusion -- References.
Record Nr. UNINA-9910591038103321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems / / edited by Ivan Zelinka, Ponnuthurai Nagaratnam Suganthan, Guanrong Chen, Vaclav Snasel, Ajith Abraham, Otto Rössler
Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems / / edited by Ivan Zelinka, Ponnuthurai Nagaratnam Suganthan, Guanrong Chen, Vaclav Snasel, Ajith Abraham, Otto Rössler
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (463 p.)
Disciplina 003.857
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Computational complexity
Artificial intelligence
Software engineering
Computational Intelligence
Complexity
Artificial Intelligence
Software Engineering/Programming and Operating Systems
ISBN 3-319-07401-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chaos, Evolution and Complexity -- Nature-Inspired Algorithms and Nonlinear Systems -- Nonlinear and Predictive Control -- Nonlinear Dynamics and Complex Systems -- Various Topics.
Record Nr. UNINA-9910299757203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015) / / edited by V. Ravi, Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan
Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015) / / edited by V. Ravi, Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (365 p.)
Disciplina 004
Collana Advances in Intelligent Systems and Computing
Soggetto topico Artificial intelligence
Computational intelligence
Neural networks (Computer science) 
Artificial Intelligence
Computational Intelligence
Mathematical Models of Cognitive Processes and Neural Networks
ISBN 3-319-27212-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Tweet Sentiment Classification Using an Ensemble of Machine Learning Supervised Classifiers Employing Statistical Feature Selection Methods -- Multiple Fuzzy Correlated Pattern Tree Mining using Minimum Item All-Confidence Thresholds -- Autonomous Visual Tracking with Extended Kalman Filter Estimator for Micro Aerial Vehicles -- Identification of Uncertain Mass and Stiffness Matrices of Multi-Storey Shear Buildings using Fuzzy Neural Network Modelling -- Fuzzy Approach to Rank Global Climate Models -- Comparative analysis of ANFIS and SVR Model performance for Rainfall Prediction -- Cross Domain Sentiment Analysis using different Machine Learning Techniques -- Combining ELM with Random Projections for Low and High Dimensional Data Classification and Clustering -- Framework for knowledge driven optimisation based data encoding for brain data modelling using spiking neural network architecture -- Short Circuit Evaluations in Gödel Type Logic -- Coefficient of Variation based Decision Tree for Fuzzy Classification -- Predicting protein coding regions by six-base nucleotide distribution -- Ontology for Education System and Ontology based Clustering -- Neural Networks for Fast Estimation of Social Network Centrality Measures -- Scale-free memory to swiftly generate fuzzy future predictions -- Assessment of Vaccination Strategies using Fuzzy Multi-Criteria Decision Making -- Ranking and Dimensionality Reduction using Biclustering -- Effect of Fractional Order in Pole Motion -- Sewage Water Quality Index of Sewage Treatment Plant using Fuzzy MCDM Approach -- Fuzzy Formal Concept Analysis approach for Information Retrieval -- Privacy Preserving Collaborative Clustering using SOM for Horizontal Data Distribution -- A Hybrid Approach to Classification of Categorical Data based on Information-Theoretic Context Selection -- Robust Stabilization of Uncertain T-S fuzzy systems: An Integral Error Dependant Sliding Surface Design Approach -- Extreme learning machine for eukaryotic and prokaryotic promoter prediction -- A hybrid approach to the maximum clique problem in the domain of information management -- An Integrated Network Behavior and Policy based data exfiltration detection framework -- Web Usages Mining in automatic detection of Learning Style in Personalized e-Learning System.
Record Nr. UNINA-9910298966003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Simulated Evolution and Learning [[electronic resource] ] : 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012, Proceedings / / edited by Lam Thu Bui, Yew Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi, Ponnuthurai Nagaratnam Suganthan
Simulated Evolution and Learning [[electronic resource] ] : 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012, Proceedings / / edited by Lam Thu Bui, Yew Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi, Ponnuthurai Nagaratnam Suganthan
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XIV, 512 p. 193 illus.)
Disciplina 003.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Data mining
Computer simulation
Computer science—Mathematics
Discrete mathematics
Application software
Theory of Computation
Artificial Intelligence
Data Mining and Knowledge Discovery
Computer Modelling
Discrete Mathematics in Computer Science
Computer and Information Systems Applications
ISBN 3-642-34859-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Influence of the Number of Initial Feasible Solutions on the Performance of an Evolutionary Optimization Algorithm -- Concurrent Differential Evolution Based on Generational Model for Multi-core CPUs -- Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection -- An Evolutionary Algorithm for the Over-constrained Airport Baggage Sorting Station Assignment Problem -- HEMH2: An Improved Hybrid Evolutionary Metaheuristics for 0/1 Multiobjective Knapsack Problems Guided Reproduction in Differential Evolution -- A Study of Breakout Local Search for the Minimum Sum ColoringProblem -- XCS with Adaptive Action Mapping -- DEAL: A Direction-Guided Evolutionary Algorithm -- Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems -- Evolution of Intrinsic Motives in Multi-agent Simulations -- A Hybrid Particle Swarm Optimization Approach to Bernoulli Mixture Models -- An Agent-Based Model for Simulation of Traffic Network Status -- Self-Adaptive Particle Swarm Optimization -- Evaporation Mechanisms for Particle Swarm Optimization -- The Performance and Sensitivity of the Parameters Setting on the Best-so-far ABC -- Incremental Spatial Clustering in Data Mining Using Genetic Algorithm and R-Tree -- Personalized Email Recommender System Based on User Actions -- Emergent Self Organizing Maps for Text Cluster Visualization by Incorporating Ontology Based Descriptors -- Online Handwriting Recognition Using Multi Convolution Neural Networks -- Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming -- Solving Graph Coloring Problem by Fuzzy Clustering-Based Genetic Algorithm -- Efficient Neuroevolution for a Quadruped Robot -- Learning and Generating Folk Melodies Using MPF-Inspired Hierarchical Self-Organising Maps -- Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem -- Where Should We Stop? An Investigation on Early Stopping for GP Learning -- From Subjective to Objective Metrics for Evolutionary Story Narration Using Event Permutations -- Learning Rule for TSK Fuzzy Logic Systems Using Interval Type-2 Fuzzy Subtractive Clustering -- Constrained Layout Optimization in Satellite Cabin Using a Multiagent Genetic Algorithm -- A Multi-Objective Approach for Master’s Thesis Committees Scheduling Using DMEA -- Coupler-Curve Synthesis of a Planar Four-Bar Mechanism Using NSGA-II -- Interactive GA Flock Brush for Non-Photorealistic Rendering -- Generating Diverse Behaviors of Evolutionary Robots with Speciation for Theory of Mind -- Improving Gender Recognition Using Genetic Algorithms.
Record Nr. UNISA-996466302303316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy
Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XI, 288 p. 117 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Algorithms
Pattern recognition systems
Computer networks
Software engineering
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Communication Networks
Software Engineering
ISBN 3-319-48959-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Self-adaptive Ensemble Differential Evolution with Sampled Parameter Values for Unit Commitment -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Differential Evolution -- 2.2 Literature Review -- 3 Self-adaptive DE with Ensemble of Mutation Strategies and Sampled Parameter Values (Sa-EPSDE) -- 4 Experimental Study on Numerical Benchmark Problems -- 5 Experimental Study on Unit Commitment Problem -- 5.1 Problem Formulation -- 5.2 Simple Priority Listing Method -- 5.3 Experimental Results -- 6 Conclusion -- Acknowledgement -- References -- Empirical Assessment of Human Learning Principles Inspired PSO Algorithms on Continuous Black-Box Optimization Testbed -- 1 Introduction -- 2 Selected Human Learning Principles Inspired PSO Algorithms -- 3 Numerical Assessment -- 3.1 Setup -- 3.2 Performance Evaluation Procedure -- 3.3 Performance Evaluation Discussion -- 4 Conclusion -- References -- Visual Cryptography Based Lossless Watermarking for Sensitive Images -- Abstract -- 1 Introduction -- 2 Visual Cryptography Based Lossless Watermarking (VCLW) -- 3 Spatial Domain VCLW Techniques -- 4 Results and Discussion -- 5 Conclusions -- References -- Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient -- Abstract -- 1 Introduction -- 2 AHP Matrix Methodology -- 3 Proposed AHP-GA Algorithm -- 3.1 Proposed Set of Equations for Different Variables -- 3.2 Selection Criteria for AHP-GA -- 3.3 Fitness Function and Recommending an Ice Cream to Diabetic Patients -- 4 AHP-CI Algorithm -- 5 Conclusions and Future Direction -- References -- Design, Construction and Analysis of Model Dataset for Indian Road Network and Performing Classification to Estimate Accuracy of Different Classifier with Its Comparison Summary Evaluation -- Abstract -- 1 Introduction.
2 Related Work -- 3 Performing Analysis of Data and Setting Threshold Levels -- 4 Database Creation -- 5 Testing Data with Different Algorithm and Accuracy Estimation -- 5.1 System Architecture -- 5.2 Final Evaluation Summary -- 6 Conclusion and Future Work -- References -- A Hybrid EMD-ANN Model for Stock Price Prediction -- 1 Introduction -- 2 Hybrid EMD-ANN Framework -- 2.1 Steps of EMD -- 2.2 Steps of ANN -- 3 Analysis -- 3.1 Data Description -- 3.2 EMD -- 3.3 Box-Jenkins Methodology -- 3.4 ANN -- 4 Results and Discussion -- 4.1 Error Measures -- 4.2 Significance Test -- 5 Conclusion -- References -- Development of Back Propagation Neural Network (BPNN) Model to Predict Combustion Parameters of Diesel Engine -- Abstract -- 1 Introduction -- 2 Experimental Setup -- 2.1 Experiment Procedure -- 3 Results and Discussions -- 4 Conclusions -- References -- An Improved Quantum Inspired Immune Clone Optimization Algorithm -- 1 Introduction -- 2 Related Methods -- 2.1 Immune Clone Algorithm -- 2.2 Quantum Computing Theory -- 3 Proposed Approach -- 3.1 Quantum Immune Clone Algorithm -- 3.2 An Improved Quantum Immune Clone Algorithm: Proposed Algorithm -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Diagnosis of Parkinson Disease Patients Using Egyptian Vulture Optimization Algorithm -- 1 Inroduction -- 1.1 Existing Method for Diagnosis of PD -- 1.2 Need for Feature Selection -- 2 Methodology -- 2.1 KNN Classifier -- 2.2 Particle Swarm Optimization -- 2.3 Egyptian Vulture Optimization Algorithm -- 2.4 Pebble Tossing -- 2.5 Rolling with Twigs -- 2.6 Change of Angle -- 2.7 Fitness Calculation -- 3 Experimental Results -- References -- Variance Based Particle Swarm Optimization for Function Optimization and Feature Selection -- 1 Introduction -- 2 Particle Swarm Optimization -- 2.1 Binary PSO -- 2.2 BPSO for Feature Selection.
3 Proposed Variance Based Particle Swarm Optimization -- 3.1 VPSO Algorithm -- 3.2 Time Complexity -- 4 Experiments -- 4.1 Function Minimization -- 4.2 Application of VPSO for Feature Selection -- 5 Conclusion and Future Work -- References -- Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer -- 1 Introduction -- 2 Gravitation Search Algorithm Integrated Support Vector Machine -- 2.1 Population Initialization -- 2.2 Fitness Computation -- 2.3 Mass and Gravitational Force Computation -- 2.4 Updating Velocity and Position -- 2.5 Elitism -- 2.6 Ranking of miRNAs Selected by GSA+SVM -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Parameters Settings and Performance Metrics -- 3.3 Results -- 4 Conclusion -- References -- Genetic Algorithm Based Speed Control of Electric Vehicle with Electronic Differential -- Abstract -- 1 Introduction -- 2 Mathematical Model of PMSM -- 2.1 Three Phase to Two Phase Transformation -- 3 Vector Control of PMSM -- 4 Modeling of Electronic Differential Controller -- 5 Optimal Tuning of PI Controller Using Genetic Algorithm -- 6 Objective Function -- 7 Result and Discussion -- 7.1 Varying Speed and Varying Load -- 7.2 Case A: Vehicle Moving on Left Curved Road -- 7.3 Case B:Vehicle Moving on a Right Curved Road -- A Appendix: Motor Parameters -- References -- An Ant Colony Optimization Approach for the Dominating Tree Problem -- 1 Introduction -- 2 Related Work -- 3 DT-ACO -- 3.1 Solution Construction -- 4 Computational Results -- 4.1 Parameter Settings -- 4.2 Comparison of DT-ACO with ACO and ABC -- 5 Conclusions -- References -- Multi-objective Power Dispatch Using Stochastic Fractal Search Algorithm and TOPSIS -- Abstract -- 1 Introduction -- 2 Mathematical Formulation -- 2.1 Cost Function for Economic Dispatch Problem -- 2.2 Function for Emission Dispatch.
2.3 Power Balance Constraints -- 2.4 Generation Limits Constraints -- 2.5 Formulation of Economic Emission Dispatch Problem -- 3 Stochastic Fractal Search Algorithm -- 3.1 Diffusion Process -- 3.2 Updating Process -- 4 TOPSIS -- 5 Implementation of SFSA in Economic Emission Dispatch Problem -- 6 Simulation Results -- 6.1 Test Case 1: 10 Unit System -- 6.2 Test Case 2: 13unit System -- 7 Conclusion -- References -- Particle Swarm Optimization for the Deployment of Directional Sensors -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Proposed Approach -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Region Based Multiple Features for an Effective Content Based Access Medical Image Retrieval an Integrated with Relevance Feedback Approach -- Abstract -- 1 Introduction -- 2 CBMIR System -- 3 Feature Extraction Approach -- 3.1 Boundary Detection -- 3.2 Texture Pattern Extraction -- 3.3 Shape Feature Extraction -- 4 Relevance Feedback Learning Approach -- 5 Experimental Results -- 6 Discussion and Conclusion -- References -- Robot Workcell Layout Optimization Using Firefly Algorithm -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 B-Star Tree Representation -- 2.2 Sequence Pair Representation -- 2.3 Objective Function -- 3 The Firefly Algorithm -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Particle Swarm Optimization Based on the Winner's Strategy -- Abstract -- 1 Introduction -- 2 PSO with Winners Strategy -- 2.1 Discussion on Selection of Value of Φ -- 2.2 Discussion on New Velocity Update Formula -- 3 Experimental Results and Analysis -- 4 Conclusion and Future Work -- Appendix -- References -- Black Hole Artificial Bee Colony Algorithm -- 1 Introduction -- 2 Black Hole Phenomenon -- 3 Black Hole ABC Algorithm -- 4 Outcomes and Discussions -- 5 Conclusion -- References.
A Gravitational Search Algorithm for Energy Efficient Multi-sink Placement in Wireless Sensor Networks -- Abstract -- 1 Introduction -- 2 Reviews of Literature -- 3 Preliminaries -- 3.1 Gravitational Search Algorithm -- 3.2 Energy Model -- 3.3 Network Scenario and Notations -- 3.3.1 Network Scenario -- 3.3.2 Notations -- 4 Proposed Approach -- 4.1 Representation of an Agent -- 4.2 Derivation of Fitness Function -- 4.3 Updating of Velocity and Position -- 5 Simulation Results -- 6 Conclusion -- References -- Optimum Clustering of Active Distribution Networks Using Back Tracking Search Algorithm -- Abstract -- 1 Introduction -- 2 Microgrids Design Concept and Benefits -- 3 Modeling of System Components -- 4 Problem Formulation -- 4.1 First Objective -- 4.2 Second Objective -- 5 The Solution Algorithm -- 5.1 Initialization -- 5.2 Selection-I -- 5.3 Mutation -- 5.4 Crossover -- 5.5 Selection-II -- 6 Simulation Results -- 7 Conclusions -- References -- Energy Efficient Clustering for Wireless Sensor Networks: A Gravitational Search Algorithm -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 Overview of Gravitational Search Algorithm -- 2.2 Energy Model -- 2.3 WSN Model and Notations -- 2.3.1 WSN Model -- 2.3.2 Notations -- 3 Proposed Approach -- 3.1 Initialization and Representation of Agent -- 3.2 Derivation of Fitness Function -- 3.3 Illustration -- 4 Simulation Results -- 5 Conclusion and Future Work -- References -- Hybridizing Cuckoo Search with Bio-inspired Algorithms for Constrained Optimization Problems -- Abstract -- 1 Introduction -- 2 Cuckoo Search Algorithm -- 2.1 Lévy Flight -- 2.2 Hybrid CS-GA Algorithm -- 2.3 Hybrid CS-PSO Algorithm -- 3 Test Problems and Results -- 3.1 Himmelblau's Problem -- 3.2 Cantilever Beam Design Problem -- 3.3 Tubular Column Design Problem -- 3.4 Three Bar Truss Design Problem.
3.5 Corrugated Bulkhead Design Problem.
Record Nr. UNISA-996465599703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Swarm, Evolutionary, and Memetic Computing : 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy
Swarm, Evolutionary, and Memetic Computing : 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XI, 288 p. 117 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Algorithms
Pattern recognition systems
Computer networks
Software engineering
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Communication Networks
Software Engineering
ISBN 3-319-48959-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Self-adaptive Ensemble Differential Evolution with Sampled Parameter Values for Unit Commitment -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Differential Evolution -- 2.2 Literature Review -- 3 Self-adaptive DE with Ensemble of Mutation Strategies and Sampled Parameter Values (Sa-EPSDE) -- 4 Experimental Study on Numerical Benchmark Problems -- 5 Experimental Study on Unit Commitment Problem -- 5.1 Problem Formulation -- 5.2 Simple Priority Listing Method -- 5.3 Experimental Results -- 6 Conclusion -- Acknowledgement -- References -- Empirical Assessment of Human Learning Principles Inspired PSO Algorithms on Continuous Black-Box Optimization Testbed -- 1 Introduction -- 2 Selected Human Learning Principles Inspired PSO Algorithms -- 3 Numerical Assessment -- 3.1 Setup -- 3.2 Performance Evaluation Procedure -- 3.3 Performance Evaluation Discussion -- 4 Conclusion -- References -- Visual Cryptography Based Lossless Watermarking for Sensitive Images -- Abstract -- 1 Introduction -- 2 Visual Cryptography Based Lossless Watermarking (VCLW) -- 3 Spatial Domain VCLW Techniques -- 4 Results and Discussion -- 5 Conclusions -- References -- Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient -- Abstract -- 1 Introduction -- 2 AHP Matrix Methodology -- 3 Proposed AHP-GA Algorithm -- 3.1 Proposed Set of Equations for Different Variables -- 3.2 Selection Criteria for AHP-GA -- 3.3 Fitness Function and Recommending an Ice Cream to Diabetic Patients -- 4 AHP-CI Algorithm -- 5 Conclusions and Future Direction -- References -- Design, Construction and Analysis of Model Dataset for Indian Road Network and Performing Classification to Estimate Accuracy of Different Classifier with Its Comparison Summary Evaluation -- Abstract -- 1 Introduction.
2 Related Work -- 3 Performing Analysis of Data and Setting Threshold Levels -- 4 Database Creation -- 5 Testing Data with Different Algorithm and Accuracy Estimation -- 5.1 System Architecture -- 5.2 Final Evaluation Summary -- 6 Conclusion and Future Work -- References -- A Hybrid EMD-ANN Model for Stock Price Prediction -- 1 Introduction -- 2 Hybrid EMD-ANN Framework -- 2.1 Steps of EMD -- 2.2 Steps of ANN -- 3 Analysis -- 3.1 Data Description -- 3.2 EMD -- 3.3 Box-Jenkins Methodology -- 3.4 ANN -- 4 Results and Discussion -- 4.1 Error Measures -- 4.2 Significance Test -- 5 Conclusion -- References -- Development of Back Propagation Neural Network (BPNN) Model to Predict Combustion Parameters of Diesel Engine -- Abstract -- 1 Introduction -- 2 Experimental Setup -- 2.1 Experiment Procedure -- 3 Results and Discussions -- 4 Conclusions -- References -- An Improved Quantum Inspired Immune Clone Optimization Algorithm -- 1 Introduction -- 2 Related Methods -- 2.1 Immune Clone Algorithm -- 2.2 Quantum Computing Theory -- 3 Proposed Approach -- 3.1 Quantum Immune Clone Algorithm -- 3.2 An Improved Quantum Immune Clone Algorithm: Proposed Algorithm -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Diagnosis of Parkinson Disease Patients Using Egyptian Vulture Optimization Algorithm -- 1 Inroduction -- 1.1 Existing Method for Diagnosis of PD -- 1.2 Need for Feature Selection -- 2 Methodology -- 2.1 KNN Classifier -- 2.2 Particle Swarm Optimization -- 2.3 Egyptian Vulture Optimization Algorithm -- 2.4 Pebble Tossing -- 2.5 Rolling with Twigs -- 2.6 Change of Angle -- 2.7 Fitness Calculation -- 3 Experimental Results -- References -- Variance Based Particle Swarm Optimization for Function Optimization and Feature Selection -- 1 Introduction -- 2 Particle Swarm Optimization -- 2.1 Binary PSO -- 2.2 BPSO for Feature Selection.
3 Proposed Variance Based Particle Swarm Optimization -- 3.1 VPSO Algorithm -- 3.2 Time Complexity -- 4 Experiments -- 4.1 Function Minimization -- 4.2 Application of VPSO for Feature Selection -- 5 Conclusion and Future Work -- References -- Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer -- 1 Introduction -- 2 Gravitation Search Algorithm Integrated Support Vector Machine -- 2.1 Population Initialization -- 2.2 Fitness Computation -- 2.3 Mass and Gravitational Force Computation -- 2.4 Updating Velocity and Position -- 2.5 Elitism -- 2.6 Ranking of miRNAs Selected by GSA+SVM -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Parameters Settings and Performance Metrics -- 3.3 Results -- 4 Conclusion -- References -- Genetic Algorithm Based Speed Control of Electric Vehicle with Electronic Differential -- Abstract -- 1 Introduction -- 2 Mathematical Model of PMSM -- 2.1 Three Phase to Two Phase Transformation -- 3 Vector Control of PMSM -- 4 Modeling of Electronic Differential Controller -- 5 Optimal Tuning of PI Controller Using Genetic Algorithm -- 6 Objective Function -- 7 Result and Discussion -- 7.1 Varying Speed and Varying Load -- 7.2 Case A: Vehicle Moving on Left Curved Road -- 7.3 Case B:Vehicle Moving on a Right Curved Road -- A Appendix: Motor Parameters -- References -- An Ant Colony Optimization Approach for the Dominating Tree Problem -- 1 Introduction -- 2 Related Work -- 3 DT-ACO -- 3.1 Solution Construction -- 4 Computational Results -- 4.1 Parameter Settings -- 4.2 Comparison of DT-ACO with ACO and ABC -- 5 Conclusions -- References -- Multi-objective Power Dispatch Using Stochastic Fractal Search Algorithm and TOPSIS -- Abstract -- 1 Introduction -- 2 Mathematical Formulation -- 2.1 Cost Function for Economic Dispatch Problem -- 2.2 Function for Emission Dispatch.
2.3 Power Balance Constraints -- 2.4 Generation Limits Constraints -- 2.5 Formulation of Economic Emission Dispatch Problem -- 3 Stochastic Fractal Search Algorithm -- 3.1 Diffusion Process -- 3.2 Updating Process -- 4 TOPSIS -- 5 Implementation of SFSA in Economic Emission Dispatch Problem -- 6 Simulation Results -- 6.1 Test Case 1: 10 Unit System -- 6.2 Test Case 2: 13unit System -- 7 Conclusion -- References -- Particle Swarm Optimization for the Deployment of Directional Sensors -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Proposed Approach -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Region Based Multiple Features for an Effective Content Based Access Medical Image Retrieval an Integrated with Relevance Feedback Approach -- Abstract -- 1 Introduction -- 2 CBMIR System -- 3 Feature Extraction Approach -- 3.1 Boundary Detection -- 3.2 Texture Pattern Extraction -- 3.3 Shape Feature Extraction -- 4 Relevance Feedback Learning Approach -- 5 Experimental Results -- 6 Discussion and Conclusion -- References -- Robot Workcell Layout Optimization Using Firefly Algorithm -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 B-Star Tree Representation -- 2.2 Sequence Pair Representation -- 2.3 Objective Function -- 3 The Firefly Algorithm -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Particle Swarm Optimization Based on the Winner's Strategy -- Abstract -- 1 Introduction -- 2 PSO with Winners Strategy -- 2.1 Discussion on Selection of Value of Φ -- 2.2 Discussion on New Velocity Update Formula -- 3 Experimental Results and Analysis -- 4 Conclusion and Future Work -- Appendix -- References -- Black Hole Artificial Bee Colony Algorithm -- 1 Introduction -- 2 Black Hole Phenomenon -- 3 Black Hole ABC Algorithm -- 4 Outcomes and Discussions -- 5 Conclusion -- References.
A Gravitational Search Algorithm for Energy Efficient Multi-sink Placement in Wireless Sensor Networks -- Abstract -- 1 Introduction -- 2 Reviews of Literature -- 3 Preliminaries -- 3.1 Gravitational Search Algorithm -- 3.2 Energy Model -- 3.3 Network Scenario and Notations -- 3.3.1 Network Scenario -- 3.3.2 Notations -- 4 Proposed Approach -- 4.1 Representation of an Agent -- 4.2 Derivation of Fitness Function -- 4.3 Updating of Velocity and Position -- 5 Simulation Results -- 6 Conclusion -- References -- Optimum Clustering of Active Distribution Networks Using Back Tracking Search Algorithm -- Abstract -- 1 Introduction -- 2 Microgrids Design Concept and Benefits -- 3 Modeling of System Components -- 4 Problem Formulation -- 4.1 First Objective -- 4.2 Second Objective -- 5 The Solution Algorithm -- 5.1 Initialization -- 5.2 Selection-I -- 5.3 Mutation -- 5.4 Crossover -- 5.5 Selection-II -- 6 Simulation Results -- 7 Conclusions -- References -- Energy Efficient Clustering for Wireless Sensor Networks: A Gravitational Search Algorithm -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 Overview of Gravitational Search Algorithm -- 2.2 Energy Model -- 2.3 WSN Model and Notations -- 2.3.1 WSN Model -- 2.3.2 Notations -- 3 Proposed Approach -- 3.1 Initialization and Representation of Agent -- 3.2 Derivation of Fitness Function -- 3.3 Illustration -- 4 Simulation Results -- 5 Conclusion and Future Work -- References -- Hybridizing Cuckoo Search with Bio-inspired Algorithms for Constrained Optimization Problems -- Abstract -- 1 Introduction -- 2 Cuckoo Search Algorithm -- 2.1 Lévy Flight -- 2.2 Hybrid CS-GA Algorithm -- 2.3 Hybrid CS-PSO Algorithm -- 3 Test Problems and Results -- 3.1 Himmelblau's Problem -- 3.2 Cantilever Beam Design Problem -- 3.3 Tubular Column Design Problem -- 3.4 Three Bar Truss Design Problem.
3.5 Corrugated Bulkhead Design Problem.
Record Nr. UNINA-9910483642403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
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Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVII, 881 p. 356 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Algorithms
Pattern recognition systems
Computer networks
Software engineering
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Communication Networks
Software Engineering
ISBN 3-319-20294-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Differential Evolution with Two Subpopulations -- Intelligent Water Drops Algorithm for Multimodal Spaces -- Glowworm Swarm based Informative attribute -- Simultaneous Feature Selection and Classification -- TLBO Based Hybrid Forecasting Model for Prediction of Exchange Rates -- Evaluating Internet Information Search Channels using Hybrid MCDM technique -- Image Restoration with Fuzzy Coefficient Driven Anisotropic Diffusion -- Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier -- Software Effort Estimation Using Functional Link Neural Networks Tuned with Active Learning and Optimized with Particle Swarm Optimization -- Fraud Detection in Financial Statements using Evolutionary Computation based Rule Miners -- A Fuzzy Entropy based Multi-level Image Thresholding using Differential Evolution.
Record Nr. UNISA-996204585803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Swarm, Evolutionary, and Memetic Computing : 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
Swarm, Evolutionary, and Memetic Computing : 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVII, 881 p. 356 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Algorithms
Pattern recognition systems
Computer networks
Software engineering
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Communication Networks
Software Engineering
ISBN 3-319-20294-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Differential Evolution with Two Subpopulations -- Intelligent Water Drops Algorithm for Multimodal Spaces -- Glowworm Swarm based Informative attribute -- Simultaneous Feature Selection and Classification -- TLBO Based Hybrid Forecasting Model for Prediction of Exchange Rates -- Evaluating Internet Information Search Channels using Hybrid MCDM technique -- Image Restoration with Fuzzy Coefficient Driven Anisotropic Diffusion -- Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier -- Software Effort Estimation Using Functional Link Neural Networks Tuned with Active Learning and Optimized with Particle Swarm Optimization -- Fraud Detection in Financial Statements using Evolutionary Computation based Rule Miners -- A Fuzzy Entropy based Multi-level Image Thresholding using Differential Evolution.
Record Nr. UNINA-9910484416403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part II / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Shubhransu Sekhar Dash
Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part II / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Shubhransu Sekhar Dash
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 672 p. 275 illus.)
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Algorithms
Pattern recognition systems
Computer networks
Software engineering
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Communication Networks
Software Engineering
ISBN 3-319-03756-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms -- Sandholm Algorithm with K-means Clustering Approach for Multi-robot Task Allocation -- Genetic Programming for Modeling Vibratory Finishing Process: Role of Experimental Designs and Fitness Functions -- Non-fragile Robust PI Controller Design Using Co-variance Matrix Adaptation Evolutionary Strategy -- Meta Heuristic Approaches for Circular Open Dimension Problem -- Protein Function Prediction Using Adaptive Swarm Based Algorithm -- Reduction of Bullwhip Effect in Supply Chain through Improved Forecasting Method: An Integrated DWT and SVM Approach -- An Ant Colony Optimization Algorithm for the Min-Degree Constrained Minimum Spanning Tree Problem -- Multiobjective Differential Evolution Algorithm Using Binary Encoded Data in Selecting Views for Materializing in Data Warehouse -- Robust Protective Relay Setting and Coordination Using Modified Differential Evolution Considering Different Network Topologies -- Real-Coded Genetic Algorithm and Fuzzy Logic Approach for Real-Time Load-Tracking Performance of an Autonomous Power System -- Short Term Load Forecasting (STLF) Using Generalized Neural Network (GNN) Trained with Adaptive GA -- Gene Selection Using Multi-objective Genetic Algorithm Integrating Cellular Automata and Rough Set Theory -- Fusion at Features Level in CBIR System Using Genetic Algorithm -- New Bio-inspired Meta-Heuristics - Green Herons Optimization Algorithm - for Optimization of Travelling Salesman Problem and Road Network -- A Comparative Analysis of Results of Data Clustering with Variants of Particle Swarm Optimization -- Hybrid Particle Swarm Optimization Technique for Protein Structure Prediction Using 2D Off-Lattice Model -- Software Effort Estimation Using Functional Link Neural Networks Optimized by Improved Particle Swarm Optimization -- Improved Feature Selection Based on Particle Swarm Optimization for Liver Disease Diagnosis -- Groundwater System Modeling for Pollution Source Identification Using Artificial Neural Network -- Stochastic Analysis for Forecasting the MW Load of Plug-In Electric Vehicles -- Biometric Based Personal Authentication Using Eye Movement Tracking -- Accelerated Simulation of Membrane Computing to Solve the N-queens Problem on Multi-core -- A Genetic Algorithm Optimized Artificial Neural Network for the Segmentation of MR Images in Frontotemporal Dementia -- Intelligent Computation and Kinematics of 4-DOF SCARA Manipulator Using ANN and ANFIS -- Hybrid Neuro-Fuzzy Network Identification for Autonomous Underwater Vehicles -- Prediction of Protein Structural Class by Functional Link Artificial Neural Network Using Hybrid Feature Extraction Method -- ANN Modeling of a Steelmaking Process -- Crop Yield Forecasting Using Neural Networks -- Non-linear Dynamic System Identification Using FLLWNN with Novel Learning Method -- Analysis of Transient Stability Based STATCOM for Neural Network Controller in Cascaded Multilevel Inverter -- Emotion Recognition System by Gesture Analysis Using Fuzzy Sets -- Automatic Eye Detection in Face Images for Unconstrained Biometrics Using Genetic Programming -- Neural Network Based Gesture Recognition for Elderly Health Care Using Kinect Sensor -- City Block Distance for Identification of Co-expressed MicroRNAs -- Extreme Learning Machine Approach for On-Line Voltage Stability Assessment -- Quadratic Fuzzy Bilevel Chance Constrained Programming with Parameters Following Weibull Distribution -- Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks -- Application of Neural Networks to Automatic Load Frequency Control -- RNN Based Solar Radiation Forecasting Using Adaptive Learning Rate -- Energy Efficient Aggregation in Wireless Sensor Networks for Multiple Base Stations -- An Intelligent Method for Handoff Decision in Next Generation Wireless Network -- Path Planning for the Autonomous Underwater Vehicle -- A Game Theoretic Approach for Reliable Power Supply in Islanded DG Grids -- Classification of Day-Ahead Deregulated Electricity Market Prices Using DCT-CFNN -- Multi-Objective Approach for Protein Structure Prediction -- Clustering Based Analysis of Spirometric Data Using Principal Component Analysis and Self Organizing Map -- Feature Selection of Motor Imagery EEG Signals Using Firefly Temporal Difference Q-Learning and Support Vector Machine -- Optimal Build-or-Buy Decision for Component Selection of Application Package Software -- Text and Data Mining to Detect Phishing Websites and Spam Emails -- Intelligent Fault Tracking by an Adaptive Fuzzy Predictor and a Fractional Controller of Electromechanical System – A Hybrid Approach -- Differential Evolution and Bacterial Foraging Optimization Based Dynamic Economic Dispatch with Non-smooth Fuel Cost Functions -- Permutation Flowshop Scheduling Problem Using Classical NEH, ILS-ESP Operator -- Analysis of Human Retinal Vasculature for Content Based Image Retrieval Applications -- Activity Recognition Using Multiple Features, Subspaces and Classifiers -- Advanced Optimization by Progressive Mapping Search Method of PSO and Neural Network -- Optimal Placement of DG in Distribution System Using Genetic Algorithm -- Intelligent Controllers in Path Tracking of a Manipulator with Bounded Disturbance Torque -- Multiscale and Multilevel Wavelet Analysis of Mammogram Using Complex Neural Network.
Record Nr. UNISA-996465296103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
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Lo trovi qui: Univ. di Salerno
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Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part I / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Shubhransu Sekhar Dash
Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : 4th International Conference, SEMCCO 2013, Chennai, India, December 19-21, 2013, Proceedings, Part I / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Shubhransu Sekhar Dash
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 776 p. 272 illus.)
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Algorithms
Pattern recognition systems
Computer networks
Software engineering
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Communication Networks
Software Engineering
ISBN 3-319-03753-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Populated Iterated Greedy Algorithm with Inver-Over Operator for Traveling Salesman Problem -- Meta-modeling and Optimization for Varying Dimensional Search Space -- A General Variable Neighborhood Search Algorithm for the No-Idle Permutation Flowshop Scheduling Problem -- Design of Non-uniformly Weighted and Spaced Circular Antenna Arrays with Reduced Side Lobe Level and First Null Beamwidth Using Seeker Optimization Algorithm -- Covariance Matrix Adaptation Evolutionary Strategy for the Solution of Transformer Design Optimization Problem -- Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing -- A Tree Based Chemical Reaction Optimization Algorithm for QoS Multicast Routing -- A New Improved Knowledge Based Cultural Algorithm for Reactive Power Planning -- BFO-RLDA: A New Classification Scheme for Face Images Using Probabilistic Reasoning Model -- Optimal Stable IIR Low Pass Filter Design Using Modified Firefly Algorithm -- Firefly Algorithm with Various Randomization Parameters: An Analysis -- Reducing Power Losses in Power System by Using Self Adaptive Firefly Algorithm -- A Soft-computing Based Approach to Economic and Environmental Analysis of an Autonomous Power Delivery System Utilizing Hybrid Solar – Diesel – Electrochemical Generation -- Parameter Adaptation in Differential Evolution Based on Diversity Control -- Data Clustering with Differential Evolution Incorporating Macromutations -- Improved Adaptive Differential Evolution Algorithm with External Archive -- Fuzzy Clustering of Image Pixels with a Fitness-Based Adaptive Differential Evolution -- Performance Study of a New Modified Differential Evolution Technique Applied for Optimal Placement and Sizing of Distributed Generation -- An Approach to Solve Multi-criteria Supplier Selection While Considering Environmental Aspects Using Differential Evolution -- Comparison between Differential Evolution Algorithm and Particle Swarm Optimization for Market Clearing with Voltage Dependent Load Models -- Multipopulation-Based Differential Evolution with Speciation-Based Response to Dynamic Environments -- A Modified Differential Evolution for Symbol Detection in MIMO-OFDM System -- Levy Flight Based Local Search in Differential Evolution -- An Adaptive Differential Evolution Based Fuzzy Approach for Edge Detection in Color and Grayscale Images -- A Differential Evolution Approach to Multi-level Image Thresholding Using Type II Fuzzy Sets -- Differential Evolution with Controlled Annihilation and Regeneration of Individuals and a Novel Mutation Scheme -- Differential Evolution and Offspring Repair Method Based Dynamic Constrained Optimization -- Adaptive Differential Evolution with Difference Mean Based Perturbation for Practical Engineering Optimization Problems -- Transmission Line Management Using Multi-objective Evolutionary Algorithm -- Normalized Normal Constraint Algorithm Based Multi-Objective Optimal Tuning of Decentralised PI Controller of Nonlinear Multivariable Process – Coal Gasifier -- Simulated Annealing Based Real Power Loss Minimization Aspect for a Large Power Network -- Hybrid Artificial Bee Colony Algorithm and Simulated Annealing Algorithm For Combined Economic and Emission Dispatch Including Valve Point Effect -- Spectrum Allocation in Cognitive Radio Networks Using Firefly Algorithm -- Bi-objective Optimization in Identical Parallel Machine Scheduling Problem -- Teaching-Learning-Based Optimization Algorithm in Dynamic Environments -- A Novel Ant Colony Optimization Algorithm for the Vehicle Routing Problem -- Implementation of Fractional Order PID Controller for Three Interacting Tank Process Optimally Tuned Using Bee Colony Optimization -- Artificial Bee Colony-Based Approach for Optimal Capacitor Placement in Distribution Networks -- Grammatical Bee Colony -- Artificial Bee Colony Algorithm for Probabilistic Target Q-coverage in Wireless Sensor Networks -- Chaos Synchronization in Commensurate Fractional Order Lu System via Optimal PIλDμ Controller with Artificial Bee Colony Algorithm -- Cooperative Micro Artificial Bee Colony Algorithm for Large Scale Global Optimization Problems -- Improvement in Genetic Algorithm with Genetic Operator Combination (GOC) and Immigrant Strategies for Multicast Routing in Ad Hoc Networks -- Ensemble of Dying Strategies Based Multi-objective Genetic Algorithm -- Effect of Photovoltaic and Wind Power Variations in Distribution System Reconfiguration for Loss Reduction Using Ant Colony Algorithm -- Inter-species Cuckoo Search via Different Levy Flights -- Cuckoo Search Algorithm for the Mobile Robot Navigation -- Automatic Generation Control of Multi-area Power System Using Gravitational Search Algorithm -- Design and Simulation of FIR High Pass Filter Using Gravitational Search Algorithm -- Solution of Optimal Reactive Power Dispatch by an Opposition-Based Gravitational Search Algorithm -- A Novel Swarm Intelligence Based Gravitational Search Algorithm for Combined Economic and Emission Dispatch Problems -- Particle Swarm Optimization Based Optimal Reliability Design of Composite Electric Power System Using Non-sequential Monte Carlo Sampling and Generalized Regression Neural Network -- A Bacteria Foraging-Particle Swarm Optimization Algorithm for QoS Multicast Routing -- Performance Evaluation of Particle Swarm Optimization Algorithm for Optimal Design of Belt Pulley System -- Optimal Sizing for Stand-Alone Hybrid PV-WIND Power Supply System Using PSO -- A Peer-to-Peer Dynamic Single Objective Particle Swarm Optimizer -- Aligned PSO for Optimization of Image Processing Methods Applied to the Face Recognition Problem -- Optimal Operation Management of Transmission System with Fuel Cell Power Plant Using PSO -- PID Tuning and Control for 2-DOF Helicopter Using Particle Swarm Optimization -- Optimal Location and Parameter Selection of Thyristor Controlled Series Capacitor Using Particle Swarm Optimization -- A New Particle Swarm Optimization with Population Restructuring Based Multiple Population Strategy -- Small Signal Stability Constrained Optimal Power Flow Using Swarm Based Algorithm -- Online Voltage Stability Assessment of Power System by Comparing Voltage Stability Indices and Extreme Learning Machine -- A Peer-to-Peer Particle Swarm Optimizer for Multi-objective Functions -- A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing -- Optimal Partial-Retuning of Decentralised PI Controller of Coal Gasifier Using Bat Algorithm -- Optimal Velocity Requirements for Earth to Venus Mission Using Taboo Evolutionary Programming.
Record Nr. UNISA-996465293303316
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