Edizione	[1st ed. 2013.]
Pubbl/distr/stampa	Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica	1 online resource (288 p.)
Disciplina	003.75
Collana	Advances in Intelligent Systems and Computing
Soggetto topico	Computational complexity Computational intelligence Artificial intelligence Complexity Computational Intelligence Artificial Intelligence
ISBN	1-283-91165-5 3-642-33227-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Keynote speech -- Tutorials -- Regular participations.
Record Nr.	UNINA-9910437886203321

Edizione	[1st ed. 2017.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica	1 online resource (X, 418 p. 245 illus.)
Disciplina	629.8
Collana	Lecture Notes in Electrical Engineering
Soggetto topico	Control engineering Electrical engineering Signal processing Image processing Speech processing systems Control and Systems Theory Communications Engineering, Networks Signal, Image and Speech Processing
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910155273603321

Edizione	[1st ed. 2016.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica	1 online resource (XVIII, 289 p. 128 illus., 41 illus. in color.)
Disciplina	006.3
Collana	Studies in Computational Intelligence
Soggetto topico	Computational intelligence Artificial intelligence Mathematical optimization Computational Intelligence Artificial Intelligence Optimization
ISBN	3-319-28161-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Foreword -- Preface -- Organization of the Chapters -- Acknowledgments -- Contents -- Contributors -- Part I Methodology -- 1 SOMA---Self-organizing Migrating Algorithm -- Abstract -- 1 Introduction -- 2 Historical Background and Algorithm Classification -- 2.1 SOMA in the Context of Selected Evolutionary Algorithms -- 3 SOMA Applicability -- 4 SOMA Principles and Control Parameters -- 5 SOMA Strategies -- 5.1 SOMA Parameters -- 5.2 Standard Evolutionary Operations in SOMA -- 5.2.1 Population -- 5.2.2 Mutations -- 5.2.3 Crossover -- 5.2.4 Constraint Handling -- 5.2.5 Boundary Constraints -- 5.2.6 Constraint Functions -- 5.2.7 Handling of Integer and Discrete Variables -- 6 Parameter Dependence -- 7 SOMA and Cost Function Evaluations -- 8 Selected SOMA Applications -- 9 SOMA in Computer Games -- 10 SOMA and Interdisciplinary Research -- 11 Conclusion -- Acknowledgments -- References -- 2 DSOMA---Discrete Self Organising Migrating Algorithm -- Abstract -- 1 Introduction -- 2 Discrete Self-organising Migrating Algorithm -- 3 Initialisation -- 4 Creating Jump Sequences -- 5 Constructing Trial Individuals -- 6 Repairing Trial Individuals -- 7 Population Update -- 8 Iteration -- 9 Migrations -- 10 2 Opt Local Search -- 11 Conclusion -- Acknowledgments -- References -- Part II Implementation -- 3 SOMA and Strange Dynamics -- Abstract -- 1 Introduction -- 2 SOMA and Chaos -- 2.1 Chaos Synthesis -- 2.2 Chaos Control -- 2.3 Chaos Identification -- 2.4 SOMA Powered by Pseudorandom, Chaos and Deterministic Dynamics -- 3 SOMA and Fractal Geometry -- 4 SOMA Dynamics as a Complex Networks -- 5 Conclusion -- Acknowledgment -- References -- 4 Multi-objective Self-organizing Migrating Algorithm -- Abstract -- 1 Introduction to Multi-objective Optimization -- 2 MOSOMA -- 2.1 Controlling Parameters -- 2.2 Migration of Agents. 2.3 Final Non-dominated Set Choice -- 3 Appendix I---Evaluation Metrics -- 4 Appendix II---Benchmark Problems -- Acknowledgements -- References -- 5 Multi-objective Design of EM Components -- Abstract -- 1 Design of EM Components -- 1.1 Yagi-Uda Antenna Design -- 1.2 Dielectric Layered Filter Design -- 1.3 Adaptive Beamforming in Time Domain -- Acknowledgements -- References -- 6 Utilization of Parallel Computing for Discrete Self-organizing Migration Algorithm -- Abstract -- 1 Introduction -- 2 Levels of Parallelization -- 3 Hardware and Software Options for Parallelization -- 3.1 OpenMP -- 3.2 Message Passing Interface -- 3.2.1 Brief Introduction into Kaira -- 3.3 GPU Computing with CUDA -- 4 Parallelization of DSOMA -- 4.1 OpenMP Implementation of DSOMA -- 4.2 Distributed Island Model Implementation of DSOMA -- 4.3 GPU Implementation -- 4.3.1 Data Storage, Transfers and Alignment -- 4.3.2 Data Level Prallelism -- 4.3.3 Single Thread Computation -- 4.3.4 Block/Warp Computation -- 5 Experiments -- 5.1 OpenMP Experiments -- 5.2 CUDA Experiments -- 5.3 Distributed DSOMA Experiment -- 6 Conclusion -- Acknowledgements -- References -- 7 C-SOMAQI: Self Organizing Migrating Algorithm with Quadratic Interpolation Crossover Operator for Constrained Global Optimization -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 Self Organizing Migrating Algorithm -- 2.1.1 Mutation: Perturbation -- 2.1.2 Crossover Operator: Generation of New Positions of Individuals -- 2.2 Quadratic Interpolation (QI) Crossover Operator -- 2.3 Methodology of SOMAQI -- 3 Proposed Hybrid C-SOMAQI Algorithm -- 4 Numerical Results on Benchmark Problems -- 5 Conclusions -- Appendix -- References -- 8 Optimization of Directional Overcurrent Relay Times Using C-SOMGA -- Abstract -- 1 Introduction -- 2 Previous Work -- 3 Methodology -- 3.1 Methodology of C-SOMGA. 4 General form of the Problem -- 5 The Optimization Problem -- 6 Model I (The IEEE 3-Bus Model) -- 7 Model II (The IEEE 4-Bus Model) -- 8 Model III (The IEEE 6-Bus Model) -- 9 Method of Solution and Discussion of Results -- 10 Conclusions -- References -- 9 SOMGA for Large Scale Function Optimization and Its Application -- Abstract -- 1 Introduction -- 2 Previous Work Done -- 3 Section 1 -- 3.1 Solution of Large Scale Problems Using SOMGA -- 3.2 Results and Discussion -- 4 Section 2 -- 4.1 Optimal Thermohydraulic Performance of an Artificially Roughened Air Heater -- 4.2 Frequency Modulation Sounds Parameter Identification Problem -- 5 Section 3 -- 5.1 Comparison with the Memetic Algorithm -- 5.2 Results and Discussion -- 6 Conclusions -- Appendix -- References -- 10 Solving the Routing Problems with Time Windows -- Abstract -- 1 Introduction -- 2 Mathematical Models of Selected Routing Problems -- 2.1 Traveling Salesman Problem (TSP) -- 2.2 Traveling Salesman Problem with Time Windows (TSPTW) -- 2.3 Capacitated Vehicle Routing Problem (CVRP) -- 2.4 Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) -- 3 Self-organizing Migrating Algorithm for the Routing Problems -- 4 Computational Experiments -- 5 Solving the Real-Life Vehicle Routing Problem with Time Windows -- 6 Conclusion -- References -- 11 SOMA in Financial Modeling -- Abstract -- 1 Introduction -- 2 Portfolio Theory -- 2.1 Markowitz Model -- 2.2 Portfolio Performance Measurement Techniques -- 2.2.1 Portfolio Selection by Maximizing Sortino Ratio -- 2.2.2 Portfolio Selection by Maximizing Omega Function -- 3 SOMA for Maximizing Performance Measurement -- 4 Empirical Results -- 5 Conclusions -- References -- 12 Setting of Control Parameters of SOMA on the Base of Statistics -- Abstract -- 1 Introduction -- 2 Single and Multiple-Factor Analysis of Variance---Theory. 3 Parameters Setting of SOMA -- 4 Conclusions -- References -- 13 Inspired in SOMA: Perturbation Vector Embedded into the Chaotic PSO Algorithm Driven by Lozi Chaotic Map -- Abstract -- 1 Introduction -- 2 Motivation -- 3 Particle Swarm Optimization Algorithm -- 4 Self-organizing Migrating Algorithm (SOMA) -- 5 Lozi Chaotic Map -- 6 Test Functions -- 7 Experiment Setup -- 7.1 Notation -- 8 Results -- 9 Analysis of the Results -- 10 Conclusion -- Acknowledgments -- References.
Record Nr.	UNINA-9910253962903321

Edizione	[1st ed. 2018.]
Pubbl/distr/stampa	Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Descrizione fisica	1 online resource (XX, 871 p. 602 illus.)
Disciplina	006.3
Collana	Communications in Computer and Information Science
Soggetto topico	Data mining Artificial intelligence Computer communication systems Optical data processing Computer security Data encryption (Computer science) Data Mining and Knowledge Discovery Artificial Intelligence Computer Communication Networks Image Processing and Computer Vision Systems and Data Security Cryptology
ISBN	981-13-1936-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Soft computing -- Evolutionary algorithms -- Image processing -- Deep learning -- Artificial intelligence -- Big data analytics -- Data minimg -- Machine learning -- VLSI -- Cloud computing -- Network communication -- Power electronics -- Green energy.
Record Nr.	UNINA-9910299305503321

Edizione	[1st ed. 2013.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013
Descrizione fisica	1 online resource (183 p.)
Disciplina	621.3
Collana	Lecture Notes in Electrical Engineering
Soggetto topico	Power electronics Mechatronics Control engineering Electrical engineering Energy efficiency Power Electronics, Electrical Machines and Networks Control and Systems Theory Communications Engineering, Networks Energy Efficiency
ISBN	3-319-00206-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Foreword; Contents; 1 Pseudo-Gradient Based Particle Swarm Optimization Method for Nonconvex Economic Dispatch; Abstract; 1...Introduction; 2...Problem Formulation; 2.1 ED Problem with Valve Point Effects; 2.2 ED Problem with Multiple Fuels; 2.3 ED Problem with Both Valve Point Effects and Multiple Fuels; 2.4 ED Problem with Prohibited Operating Zones; 3...Pseudo-Gradient Based Particle Swarm Optimization; 3.1 Self-organizing Hierarchical Particle Swarm Optimizer; 3.2 Pseudo-Gradient Concept; 3.3 Proposed Pseudo-Gradient Based Particle Swarm Optimization 4...Implementation of PGPSO to Nonconvex ED Problems4.1 Calculation of Power Output for Slack Unit; 4.2 Handling of Ramp Rate Constraints and POZ Violation; 4.3 Implementation of PGPSO; 4.3.1 Initialization; 4.3.2 Calculation of Particle's Velocity and Position; 4.3.3 Stopping Criteria; 5...Numerical Results; 5.1 Selection of Parameters; 5.2 Systems with Valve Point Effects; 5.3 System with Multiple Fuels; 5.4 System with Prohibited Operating Zones; 5.5 Systems with Both Valve Point Effects and Multiple Fuels; 5.5.1 10-unit System; 5.5.2 Large-Scale Systems; 6...Conclusion; A.x(118). Appendix References2 Energy Consumption Impacted by Climate Change Application: Case Study Astara; Abstract; 1...Introduction; 2...Methods; 2.1 What are Annual and Monthly Heating and Cooling Degree Days?; 2.2 Global Projections; 2.3 Temperature; 2.4 Future Climate Projection for Asia Sub Regions; 2.5 Past Climate Changes in Middle East; 2.6 Climate Projections in Middle East; 2.7 Past Climate Changes in Iran; 2.8 Past Climate Changes in Astara; 2.9 Investigation on Climate Change Projections in Astara and Ardebil; 2.10 Climate Condition in Astara Especial Forest Ecosystem (District 1); 3...Results 3.1 Precipitation Changes3.2 Temperature Changes; 3.3 Other Climatic Factors Changes; 4...Discussion; 5...Conclusion: Astara Climate Change and Energy Balance; References; 3 Computer Tools for Modelling and Evaluating the Potential of Energy Storage Systems with Reference to the Greek Islands Case; Abstract; 1...Introduction; 2...Energy Storage Technologies-Modeling and Evaluation; 2.1 Battery Energy Storage System; 2.2 Thermal Energy Storage; 2.3 Pumped Hydro Energy Storage; 2.4 Compressed Air Energy Storage; 2.5 Flywheel Energy Storage; 2.6 Superconducting Magnetic Energy Storage 2.7 Super Capacitor Energy Storage2.8 Hydrogen Energy Storage-Fuel Cells; 3...Microgrids and Distributed Energy Storage; 4...Energy Storage for Greek Island Electrification; 5...Analysis Tools for Energy storage Impact in Micro-grid Applications; 6...Discussion and Concluding Remarks; References; 4 Particle Swarm Intelligence Based Optimization Controller Applied to Two Area Interconnected Power Systems; Abstract; 1...Introduction; 2...Dynamic Model of the System; 2.1 Problem Description; 3...Optimization Techniques; 3.1 Genetic Algorithm; 3.2 Particle Swarm Optimization; 4...Simulation Results 4.1 Performance Analysis
Record Nr.	UNINA-9910438039903321