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Biblioteca

MARC Lista (tabellare)
AI 2009: Advances in Artificial Intelligence [[electronic resource] ] : 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009, Proceedings / / edited by Ann Nicholson, Xiaodong Li
AI 2009: Advances in Artificial Intelligence [[electronic resource] ] : 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009, Proceedings / / edited by Ann Nicholson, Xiaodong Li
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (XVI, 688 p.)
Disciplina 004n/a
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Data mining
Information storage and retrieval
Natural language processing (Computer science)
User interfaces (Computer systems)
Artificial Intelligence
Theory of Computation
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Natural Language Processing (NLP)
User Interfaces and Human Computer Interaction
Soggetto genere / forma Kongress.
Melbourne (2009)
ISBN 3-642-10439-8
Classificazione DAT 700f
SS 4800
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agents -- Experimental Market Mechanism Design for Double Auction -- Model Checking Games for a Fair Branching-Time Temporal Epistemic Logic -- Multistage Fuzzy Decision Making in Bilateral Negotiation with Finite Termination Times -- Simple Default Reasoning in Theories of Action -- From My Agent to Our Agent: Exploring Collective Adaptive Agent via Barnga -- AI Applications -- Classification of EEG for Affect Recognition: An Adaptive Approach -- Effect of Experimental Factors on the Recognition of Affective Mental States through Physiological Measures -- A Distance Measure for Genome Phylogenetic Analysis -- Pattern Prediction in Stock Market -- Balancing Workload in Project Assignment -- Topical Analysis for Identification of Web Communities -- Collaborative-Comparison Learning for Complex Event Detection Using Distributed Hierarchical Graph Neuron (DHGN) Approach in Wireless Sensor Network -- Square Root Unscented Particle Filtering for Grid Mapping -- Computer Vision and Image Processing -- Towards Automatic Image Segmentation Using Optimised Region Growing Technique -- Texture Detection Using Neural Networks Trained on Examples of One Class -- Learning and Recognition of 3D Visual Objects in Real-Time -- Learning Motion Detectors by Genetic Programming -- Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections -- Belief Propagation Implementation Using CUDA on an NVIDIA GTX 280 -- Face Image Enhancement via Principal Component Analysis -- Data Mining and Statistical Learning -- On Using Adaptive Binary Search Trees to Enhance Self Organizing Maps -- Topic-Based Computing Model for Web Page Popularity and Website Influence -- Classifying Multiple Imbalanced Attributes in Relational Data -- Algorithms for the Computation of Reduced Convex Hulls -- Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data -- Incremental E-Mail Classification and Rule Suggestion Using Simple Term Statistics -- The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification -- Using Topic Models to Interpret MEDLINE’s Medical Subject Headings -- A Novel Path-Based Clustering Algorithm Using Multi-dimensional Scaling -- Ensemble Approach for the Classification of Imbalanced Data -- Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis -- MML Invariant Linear Regression -- DMCS: Dual-Model Classification System and Its Application in Medicine -- A Graph Distance Based Structural Clustering Approach for Networks -- Constructing Stochastic Mixture Policies for Episodic Multiobjective Reinforcement Learning Tasks -- Enhancing MML Clustering Using Context Data with Climate Applications -- Evolutionary Computing -- CoXCS: A Coevolutionary Learning Classifier Based on Feature Space Partitioning -- Multi-Objective Genetic Programming for Classification with Unbalanced Data -- Scheduling for the National Hockey League Using a Multi-objective Evolutionary Algorithm -- Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems -- Unsupervised Text Normalization Approach for Morphological Analysis of Blog Documents -- Novel Memetic Algorithm for Protein Structure Prediction -- Interestingness of Association Rules Using Symmetrical Tau and Logistic Regression -- Unsupervised Elimination of Redundant Features Using Genetic Programming -- A Distance Metric for Evolutionary Many-Objective Optimization Algorithms Using User-Preferences -- Balancing Parent and Offspring Selection in Genetic Programming -- Game Playing -- A Memory-Based Approach to Two-Player Texas Hold’em -- Decomposition of Multi-player Games -- Knowledge Representation and Reasoning -- Extended Full Computation-Tree Logic with Sequence Modal Operator: Representing Hierarchical Tree Structures -- A Data Model for Fuzzy Linguistic Databases with Flexible Querying -- Modelling Object Typicality in Description Logics -- Efficient SAT Techniques for Relative Encoding of Permutations with Constraints -- Uniform Interpolation for Revisited -- Modeling Abstract Behavior: A Dynamic Logic Approach -- Natural Language and Speech Processing -- Restoring Punctuation and Casing in English Text -- A Novel Connectionist Network for Solving Long Time-Lag Prediction Tasks -- An Abstraction-Based Data Model for Information Retrieval -- Vietnamese Document Representation and Classification -- Can Shallow Semantic Class Information Help Answer Passage Retrieval? -- English Article Correction System Using Semantic Category Based Inductive Learning Rules -- Towards Interpreting Task-Oriented Utterance Sequences -- Soft Computing -- Fuzzy Rank Linear Regression Model -- Numerical versus Analytic Synchronization in Small-World Networks of Hindmarsh-Rose Neurons -- Outline Capture of Images by Multilevel Coordinate Search on Cubic Splines -- User Modelling -- Aggregation Trade Offs in Family Based Recommendations -- Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits -- Behaviour Recognition from Sensory Streams in Smart Environments -- Probabilistic Seeking Prediction in P2P VoD Systems.
Record Nr. UNISA-996465577703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
AI 2017: Advances in Artificial Intelligence [[electronic resource] ] : 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings / / edited by Wei Peng, Damminda Alahakoon, Xiaodong Li
AI 2017: Advances in Artificial Intelligence [[electronic resource] ] : 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings / / edited by Wei Peng, Damminda Alahakoon, Xiaodong Li
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIII, 376 p. 100 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Algorithms
Software engineering
Computer communication systems
Computer security
Artificial Intelligence
Information Systems and Communication Service
Algorithm Analysis and Problem Complexity
Software Engineering
Computer Communication Networks
Systems and Data Security
ISBN 3-319-63004-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine Learning -- Optimization -- Swarm Intelligence and Evolutionary Computing -- Text Mining and Linguistic analysis -- Vision and Image -- Other Areas in Articial Intelligence.
Record Nr. UNISA-996466309203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
AI 2017: Advances in Artificial Intelligence : 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings / / edited by Wei Peng, Damminda Alahakoon, Xiaodong Li
AI 2017: Advances in Artificial Intelligence : 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings / / edited by Wei Peng, Damminda Alahakoon, Xiaodong Li
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIII, 376 p. 100 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Algorithms
Software engineering
Computer networks
Computer security
Artificial Intelligence
Information Systems and Communication Service
Algorithm Analysis and Problem Complexity
Software Engineering
Computer Communication Networks
Systems and Data Security
ISBN 3-319-63004-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine Learning -- Optimization -- Swarm Intelligence and Evolutionary Computing -- Text Mining and Linguistic analysis -- Vision and Image -- Other Areas in Articial Intelligence.
Record Nr. UNINA-9910484961403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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AI 2018: Advances in Artificial Intelligence [[electronic resource] ] : 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings / / edited by Tanja Mitrovic, Bing Xue, Xiaodong Li
AI 2018: Advances in Artificial Intelligence [[electronic resource] ] : 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings / / edited by Tanja Mitrovic, Bing Xue, Xiaodong Li
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIX, 857 p. 288 illus., 199 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Optical data processing
Special purpose computers
Computers
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Image Processing and Computer Vision
Special Purpose and Application-Based Systems
Models and Principles
ISBN 3-030-03991-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466472103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
AI 2018: Advances in Artificial Intelligence : 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings / / edited by Tanja Mitrovic, Bing Xue, Xiaodong Li
AI 2018: Advances in Artificial Intelligence : 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings / / edited by Tanja Mitrovic, Bing Xue, Xiaodong Li
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIX, 857 p. 288 illus., 199 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computer vision
Computers, Special purpose
Computer science
Artificial Intelligence
Computer Vision
Special Purpose and Application-Based Systems
Models of Computation
ISBN 9783030039912
3030039919
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910349389503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Life and Computational Intelligence [[electronic resource] ] : Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings / / edited by Markus Wagner, Xiaodong Li, Tim Hendtlass
Artificial Life and Computational Intelligence [[electronic resource] ] : Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings / / edited by Markus Wagner, Xiaodong Li, Tim Hendtlass
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIII, 392 p. 122 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computers
Pattern recognition
Optical data processing
Application software
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Computation by Abstract Devices
Pattern Recognition
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
ISBN 3-319-51691-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial Life and Computational Intelligence -- Extending the Delaunay Triangulation Based Density Measurement to Many-objective Optimization -- Emotion, Trustworthiness and Altruistic Punishment in a Tragedy of the Commons Social Dilemma -- Equity Option Strategy Discovery and Optimization Using a Memetic Algorithm -- Co-Evolving Line Drawings with Hierarchical Evolution -- Reliability estimation of individual multi-target regression predictions -- Feedback Modulated Attention Within a Predictive Framework -- A Batch Infill Strategy for Computationally Expensive Optimization Problems -- Automatic Clustering and Summarisation of Microblogs: A Multi-Subtopic Phrase Reinforcement Algorithm -- Generation and exploration of architectural form using a composite Cellular Automata -- Wrapper Feature Construction for Figure-ground Image Segmentation Using Genetic Programming -- Surrogate-assisted Multi-swarm Particle Swarm Optimization of Morphing Airfoils -- Applying Dependency Patterns in Causal Discovery of Latent Variable Models -- An Evolutionary Multi-criteria Journey Planning Algorithm for Multi-modal Transportation Networks -- Estimating Passenger Preferences Using Implicit Relevance Feedback for Personalized Journey -- Quantitative Assessment of Hearts Function: A Hybrid Mechanism for Left Ventricles Segmentation from Cine MRI Sequences -- A Hybrid feature selection scheme based on local compactness and global separability for improving roller bearing diagnostic performance -- Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN -- Towards Solving TSPN with Arbitrary Neighborhoods: A Hybrid Solution -- Detectable Genetic Algorithms-based techniques for solving Dynamic Optimisation Problem with Unknown Active Variables -- Neighbourhood analysis: a case study on Google Machine Reassignment Problem -- Optimisation Algorithms and Applications -- Multi-Objective Optimisation with Multiple Preferred Regions -- An Adaptive Memetic Algorithm for the Architecture Optimisation Problem -- Resource Constrained Job Scheduling with Parallel Constraint-based ACO -- An Iterated Local Search with Guided Perturbation for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-Dimensional Loading Constraints -- A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization -- Investigating the Generality of Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown -- Exploratory Analysis of Clustering Problems Using a Comparison of Particle Swarm Optimization and Differential Evolution -- A PSO-based Reference Point Adaption Method for Genetic Programming Hyper-heuristic in Many-Objective Job Shop Scheduling -- Optimal power allocation of wireless sensor networks with multi-operator based constrained differential evolution -- CEMAB: A Cross-Entropy-based Method for Large-Scale Multi-Armed Bandits -- Binary PSO for Web Service Location-Allocation -- A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment.
Record Nr. UNISA-996466088503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Life and Computational Intelligence : Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings / / edited by Markus Wagner, Xiaodong Li, Tim Hendtlass
Artificial Life and Computational Intelligence : Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 – February 2, 2017, Proceedings / / edited by Markus Wagner, Xiaodong Li, Tim Hendtlass
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIII, 392 p. 122 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Algorithms
Computers
Pattern perception
Optical data processing
Application software
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Computation by Abstract Devices
Pattern Recognition
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
ISBN 3-319-51691-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial Life and Computational Intelligence -- Extending the Delaunay Triangulation Based Density Measurement to Many-objective Optimization -- Emotion, Trustworthiness and Altruistic Punishment in a Tragedy of the Commons Social Dilemma -- Equity Option Strategy Discovery and Optimization Using a Memetic Algorithm -- Co-Evolving Line Drawings with Hierarchical Evolution -- Reliability estimation of individual multi-target regression predictions -- Feedback Modulated Attention Within a Predictive Framework -- A Batch Infill Strategy for Computationally Expensive Optimization Problems -- Automatic Clustering and Summarisation of Microblogs: A Multi-Subtopic Phrase Reinforcement Algorithm -- Generation and exploration of architectural form using a composite Cellular Automata -- Wrapper Feature Construction for Figure-ground Image Segmentation Using Genetic Programming -- Surrogate-assisted Multi-swarm Particle Swarm Optimization of Morphing Airfoils -- Applying Dependency Patterns in Causal Discovery of Latent Variable Models -- An Evolutionary Multi-criteria Journey Planning Algorithm for Multi-modal Transportation Networks -- Estimating Passenger Preferences Using Implicit Relevance Feedback for Personalized Journey -- Quantitative Assessment of Hearts Function: A Hybrid Mechanism for Left Ventricles Segmentation from Cine MRI Sequences -- A Hybrid feature selection scheme based on local compactness and global separability for improving roller bearing diagnostic performance -- Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN -- Towards Solving TSPN with Arbitrary Neighborhoods: A Hybrid Solution -- Detectable Genetic Algorithms-based techniques for solving Dynamic Optimisation Problem with Unknown Active Variables -- Neighbourhood analysis: a case study on Google Machine Reassignment Problem -- Optimisation Algorithms and Applications -- Multi-Objective Optimisation with Multiple Preferred Regions -- An Adaptive Memetic Algorithm for the Architecture Optimisation Problem -- Resource Constrained Job Scheduling with Parallel Constraint-based ACO -- An Iterated Local Search with Guided Perturbation for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-Dimensional Loading Constraints -- A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization -- Investigating the Generality of Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown -- Exploratory Analysis of Clustering Problems Using a Comparison of Particle Swarm Optimization and Differential Evolution -- A PSO-based Reference Point Adaption Method for Genetic Programming Hyper-heuristic in Many-Objective Job Shop Scheduling -- Optimal power allocation of wireless sensor networks with multi-operator based constrained differential evolution -- CEMAB: A Cross-Entropy-based Method for Large-Scale Multi-Armed Bandits -- Binary PSO for Web Service Location-Allocation -- A MOEA/D with Non-uniform Weight Vector Distribution Strategy for Solving the Unit Commitment Problem in Uncertain Environment.
Record Nr. UNINA-9910484295603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Life and Computational Intelligence [[electronic resource] ] : Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings / / edited by Tapabrata Ray, Ruhul Sarker, Xiaodong Li
Artificial Life and Computational Intelligence [[electronic resource] ] : Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings / / edited by Tapabrata Ray, Ruhul Sarker, Xiaodong Li
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIII, 375 p. 115 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Pattern recognition
Algorithms
Optical data processing
Application software
Artificial Intelligence
Computation by Abstract Devices
Pattern Recognition
Algorithm Analysis and Problem Complexity
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
ISBN 3-319-28270-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Mathematical Modeling and Theory -- Fractal Dimension - A Spatial and Visual Design Technique for the Creation of Lifelike Artificial Forms -- Using Closed Sets to Model Cognitive Behavior -- Learning and Optimization -- Solving dynamic optimisation problem with known changeable boundaries -- Compaction for Code Fragment Based Learning Classifier Systems -- The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking -- A Study on Performance Metrics to Identify Solutions of Interest From a Trade-off Set -- Dynamic Configuration of Differential Evolution Control Parameters and Operators -- Exploring the Feasible Space using Constraint Consensus in Solving Constrained Optimization Problems -- A Nested Differential Evolution based Algorithm for Solving Multi-objective Bilevel Optimization Problems -- Parkinson’s Disease Data Classification Using Evolvable Wavelet Neural Networks -- GO-PEAS: A Scalable Yet Accurate Grid-based Outlier Detection Method Using Novel Pruning Searching Techniques -- Multi-objective Genetic Programming for Figure-ground Image Segmentation -- A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation -- Competitive Island Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- A Delaunay Triangulation Based Density Measurement for Evolutionary Multi-objective Optimization -- Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey -- Planning and Scheduling -- A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems -- A hybrid imperialist competitive algorithm for flexible job shop problem -- Parallel Multi-objective Job Shop Scheduling Using Genetic Programming -- Optimization of Location Allocation of Web Services Using A Modified Non-dominated Sorting Genetic Algorithm -- Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators -- Feature Selection -- Investigating Multi-operator Differential Evolution for Feature Selection -- Coevolutionary Feature Selection and Reconstruction in Neuro-Evolution for Time Series Prediction -- A Subset Similarity Guided Method for Multi-objective Feature Selection -- Applications and Games -- An Evolutionary Optimization Approach to Maximize Runway Throughput Capacity for Hub and Spoke Airports -- Finite Population Trust Game Replicators -- Towards Evolved Time to Contact Neurocontrollers for Quadcopters -- The Effect of Risk Perceived Payoffs in Iterated Interdependent Security Games -- Genetic Algorithm Based Trading System Design. .
Record Nr. UNISA-996466054203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Life and Computational Intelligence : Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings / / edited by Tapabrata Ray, Ruhul Sarker, Xiaodong Li
Artificial Life and Computational Intelligence : Second Australasian Conference, ACALCI 2016, Canberra, ACT, Australia, February 2-5, 2016, Proceedings / / edited by Tapabrata Ray, Ruhul Sarker, Xiaodong Li
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XIII, 375 p. 115 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Pattern perception
Algorithms
Optical data processing
Application software
Artificial Intelligence
Computation by Abstract Devices
Pattern Recognition
Algorithm Analysis and Problem Complexity
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
ISBN 3-319-28270-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Mathematical Modeling and Theory -- Fractal Dimension - A Spatial and Visual Design Technique for the Creation of Lifelike Artificial Forms -- Using Closed Sets to Model Cognitive Behavior -- Learning and Optimization -- Solving dynamic optimisation problem with known changeable boundaries -- Compaction for Code Fragment Based Learning Classifier Systems -- The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking -- A Study on Performance Metrics to Identify Solutions of Interest From a Trade-off Set -- Dynamic Configuration of Differential Evolution Control Parameters and Operators -- Exploring the Feasible Space using Constraint Consensus in Solving Constrained Optimization Problems -- A Nested Differential Evolution based Algorithm for Solving Multi-objective Bilevel Optimization Problems -- Parkinson’s Disease Data Classification Using Evolvable Wavelet Neural Networks -- GO-PEAS: A Scalable Yet Accurate Grid-based Outlier Detection Method Using Novel Pruning Searching Techniques -- Multi-objective Genetic Programming for Figure-ground Image Segmentation -- A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation -- Competitive Island Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- Reverse Neuron Level Decomposition for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction -- A Delaunay Triangulation Based Density Measurement for Evolutionary Multi-objective Optimization -- Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey -- Planning and Scheduling -- A Differential Evolution Algorithm for Solving Resource Constrained Project Scheduling Problems -- A hybrid imperialist competitive algorithm for flexible job shop problem -- Parallel Multi-objective Job Shop Scheduling Using Genetic Programming -- Optimization of Location Allocation of Web Services Using A Modified Non-dominated Sorting Genetic Algorithm -- Double Action Genetic Algorithm for Scheduling the Wind-Thermal Generators -- Feature Selection -- Investigating Multi-operator Differential Evolution for Feature Selection -- Coevolutionary Feature Selection and Reconstruction in Neuro-Evolution for Time Series Prediction -- A Subset Similarity Guided Method for Multi-objective Feature Selection -- Applications and Games -- An Evolutionary Optimization Approach to Maximize Runway Throughput Capacity for Hub and Spoke Airports -- Finite Population Trust Game Replicators -- Towards Evolved Time to Contact Neurocontrollers for Quadcopters -- The Effect of Risk Perceived Payoffs in Iterated Interdependent Security Games -- Genetic Algorithm Based Trading System Design. .
Record Nr. UNINA-9910483976303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
Evolutionary Multi-Criterion Optimization : 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II / / edited by Hemant Singh, Tapabrata Ray, Joshua Knowles, Xiaodong Li, Juergen Branke, Bing Wang, Akira Oyama
Autore Singh Hemant
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (397 pages)
Disciplina 006.3
Altri autori (Persone) RayTapabrata
KnowlesJoshua
LiXiaodong
BrankeJuergen
WangBing
OyamaAkira
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 9789819635382
9819635381
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Algorithm analysis. -- Visual Explanations of Some Problematic Search Behaviors of Frequently Used EMO Algorithms. -- Numerical Analysis of Pareto Set Modeling. -- When Is Non-deteriorating Population Update in MOEAs Beneficial?. -- Analysis of Merge Non-dominated Sorting Algorithm. -- Comparative Analysis of Indicators for Multi-objective Diversity Optimization. -- Performance Analysis of Constrained Evolutionary Multi-Objective Optimization Algorithms on Artificial and Real-World Problems. -- On the Approximation of the Entire Pareto Front of a Constrained Multi objective Optimization Problem. -- Small Population Size is Enough in Many Cases with External Archives. -- Surrogates and machine learning. -- Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations. -- Surrogate Strategies for Scalarisation-based Multi-objective Bayesian Optimizers. -- A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi- and Many-Objective Optimization: First Results. -- Efficient and Accurate Surrogate-Assisted Approach to Multi-Objective Optimization Using Deep Neural Networks. -- Large Language Model for Multiobjective Evolutionary Optimization. -- Multi-Objective Multi-Agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments. -- Parallel TD3 for Policy Gradient-based Multi-Condition Multi-Objective Optimisation. -- Multi-criteria decision support. -- Reliability-based MCDM Using Objective Preferences Under Variable Uncertainty. -- An Efficient Iterative Approach for Uniformly Representing Pareto Fronts. -- Preference Learning for Multi-objective Reinforcement Learning by Means of Supervised Learning. -- Bayesian preference elicitation for decision support in multi-objective optimization.
Record Nr. UNINA-9910984686703321
Singh Hemant  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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