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Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : Second International Conference, SEMCCO 2011, Visakhapatnam, India, December 19-21, 2011, Proceedings, Part I / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy



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Titolo: Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : Second International Conference, SEMCCO 2011, Visakhapatnam, India, December 19-21, 2011, Proceedings, Part I / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011
Edizione: 1st ed. 2011.
Descrizione fisica: 1 online resource (XXII, 754 p.)
Disciplina: 005.1
Soggetto topico: Computer science
Artificial intelligence
Algorithms
Pattern recognition systems
Computer networks
Computer programming
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Communication Networks
Programming Techniques
Persona (resp. second.): PanigrahiBijaya Ketan
SuganthanPonnuthurai Nagaratnam
DasSwagatam
SatapathySuresh Chandra
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di contenuto: Intro -- Title page -- Preface -- Organization -- Table of Contents -- Design of Two-Channel Quadrature Mirror Filter Banks Using Differential Evolution with Global and Local Neighborhoods -- Introduction -- Formulation of Design Problems -- DE with Global and Local Neighborhoods (DEGL) -- Control Parameters in DEGL -- Random Weight Factor -- Advantage of Random Weight Factor -- Design Problems -- Parameter Initializations -- Problem Examples -- Discussion of Results -- Conclusions -- References -- Differential Evolution with Modified Mutation Strategy for Solving Global Optimization Problems -- Introduction -- Basic DE -- Proposed Modified DE (MDE) -- Pseudo Code for MDE -- Numerical Simulation and Comparisons -- Experimental Setting -- Performance Criteria -- Simulated Results -- Conclusions -- References -- Self-adaptive Cluster-Based Differential Evolution with an External Archive for Dynamic Optimization Problems -- Introduction -- Differential Evolution (DE) Algorithm -- Mutation -- Cross-Over -- Selection Operation -- Proposed Algorithm: SACDEEA -- Initialization -- Cluster Improvements -- Performance Evaluation and Redistribution -- Detection of Environmental Change and External Archive -- Experimental Results -- Test Problems -- Parameter Settings -- Conclusion -- References -- An Informative Differential Evolution with Self Adaptive Re-clustering Technique -- Introduction -- Related Research Works -- Differential Evolution (DE) Algorithm -- Mutation -- Cross-Over -- Selection Operation -- Proposed Algorithm -- Initialization -- Information Exchange among Clusters -- Local Search Technique -- Parameters -- Experimental Results -- Conclusion -- References -- Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement -- Introduction -- Hybrid Filters and Differential Evolution Algorithm -- Hybrid Filters.
Differential Evolution -- Framework -- Initialization of Population -- Using Differential Evolution for Finding Optimal Hybrid Filter Combination -- Experimentations and Results -- Observation Tables -- Conclusion and Future Work -- References -- Scheduling Flexible Assembly Lines Using Differential Evolution -- Introduction -- Differential Evolution -- Problem Formulation -- Objective Function -- Assumptions -- Constraints -- DE Algorithm for FAL Scheduling Problem -- Representation -- Algorithm -- Results and Discussion -- Conclusion -- References -- A Differential Evolution Based Approach for Multilevel Image Segmentation Using Minimum Cross Entropy Thresholding -- Introduction -- Minimum Cross Entropy Thresholding -- Recursive MCET -- Differential Evolution (DE) -- Experimental Results -- Conclusion -- References -- Tuning of Power System Stabilizer Employing Differential Evolution Optimization Algorithm -- Introduction -- System Under Study -- The Proposed Approach -- Structure of the Power System Stabilizer -- Problem Formulation -- Overview of Differential Evolution Optimization Algorithm -- Inilization -- Mutation -- Crossover -- Selection -- Results and Discussions -- Application of DE -- Simulation Results -- Conclusion -- References -- Logistic Map Adaptive Differential Evolution for Optimal Capacitor Placement and Sizing -- Introduction -- Problem Formulation -- Overview of Differential Evolution -- Initialization -- Mutation Operation -- Crossover Operation -- Selection Operation -- Hybrid Differential Evolution Using Chaos Theory -- Structure of Solutions -- Simulation Results -- Conclusions -- References -- Application of an Improved Generalized Differential Evolution Algorithm to Multi-objective Optimization Problems -- Introduction -- Multi-objective Differential Evolution -- Implementation of I-GDE3 Algorithm -- I-GDE3 Algorithm.
Simulation Results -- Standard Test Problems -- Implementation of I-GDE3 to RPP Problem -- Conclusion -- References -- Enhanced Discrete Differential Evolution to Determine Optimal Coordination of Directional Overcurrent Relays in a Power System -- Introduction -- Problem Formulation -- Relay Characteristics -- Relay Setting -- Coordination Criteria -- Enhanced Differential Evolution -- Mutation Operation -- Crossover Operation -- Selection Operation -- Enhanced Discrete DE -- Simulation Results -- System Data -- Implementation of Enhanced Discrete Differential Evolution -- Conclusion -- References -- Dynamic Thinning of Antenna Array Using Differential Evolution Algorithm -- Introduction -- Objective Function -- Overview of Differential Evolution -- Initialization -- Mutation -- Crossover -- Selection -- Application of Differential Evolution to Dynamic Array Thinning -- Dynamic Array Thinning -- Zoning Technique -- Parameter Values Used for the Experiment -- Experimental Results -- Conclusion -- References -- A Quantized Invasive Weed Optimization Based Antenna Array Synthesis with Digital Phase Control -- Introduction -- Digital Phase Antenna Array -- IWO and Its Proposed Modification -- Classical IWO -- The Quantized IWO -- Experiments and Results -- Minimum SLL Optimization -- Conclusion -- References -- Optimal Power Flow for Indian 75 Bus System Using Differential Evolution -- Introduction -- Optimal Power Flow (OPF) Problem Formulation -- Objective Functions -- OPF Problem Constraints [8] -- Overview of Differential Evolution -- Initialization -- Mutation -- Crossover -- Selection -- Hybridized D.E and I.W.O with Population Exchange -- Parameter Values Used for the Experiment -- Results of the Algorithm Implementation -- Conclusions -- References.
A Modified Differential Evolution Algorithm Applied to Challenging Benchmark Problems of Dynamic Optimization -- Introduction -- Overview of Differential Evolution -- The pDEBQ Algorithm -- Partial DE Scheme -- Double Mutation Strategy -- Exclusion Rule -- Ageing Mechanism -- Control Parameter -- Experimental Settings -- Parameter Settings -- Experimental Results -- Conclusion -- References -- PSO Based Memetic Algorithm for Unimodal and Multimodal Function Optimization -- Introduction -- Memetic Algorithm with GA and PSO as Local Search -- Experimentation -- Discussion -- Conclusion -- References -- Comparison of PSO Tuned Feedback Linearisation Controller (FBLC) and PI Controller for UPFC to Enhance Transient Stability -- Introduction -- Transient Stability -- Modeling of UPFC -- UPFC Installed in SMIB System -- Modeling of Shunt Converter -- Modeling of Series Converter -- Particle Swarm Optimisation -- FBLC for UPFC -- Simulation Results -- CASE-I -- CASE-II -- Conclusion -- References -- A Nelder-Mead PSO Based Approach to Optimal Capacitor Placement in Radial Distribution System -- Introduction -- PSO and NM-PSO -- Method 1: Particle Swarm Optimization (PSO) -- Method 2: Nelder-Mead Particle Swarm Optimization (NM-PSO) -- Bus Sensitivity -- Problem Formulation -- Operating Constraints -- Results and Discussions -- Candidate Bus Selection -- Capacitor Placement at Buses -- Conclusion -- References -- Comparative Performance Study of Genetic Algorithm and Particle Swarm Optimization Applied on Off-grid Renewable Hybrid Energy System -- Introduction -- Hybrid Test System Model -- System Costs and Objective Function -- Optimization Methods -- Particle Swarm Optimization -- Genetic Algorithm -- Simulated Results and Comparative Study -- Conclusion -- References -- An Efficient Algorithm for Multi-focus Image Fusion Using PSO-ICA -- Introduction.
Independent Component Analysis -- Particle Swarm Optimization -- Proposed PSO-ICA Algorithm for Multi-focus Image Fusion -- Simulation Results -- Conclusion -- References -- Economic Emission OPF Using Hybrid GA-Particle Swarm Optimization -- Introduction -- Problem Statement -- Proposed Hybrid GA Particle Swarm Optimization -- PSO Implementation -- Problem Representation -- Evaluation Function -- Simulation Results -- Conclusion -- References -- Application of Improved PSO Technique for Short Term Hydrothermal Generation Scheduling of Power System -- Introduction -- Problem Formulation -- Objective Function -- Particle Swarm Optimization -- Proposed PSO Algorithm for Hydrothermal Scheduling -- Test System and Results -- Conclusion -- References -- Multi-objective Workflow Grid Scheduling Based on Discrete Particle Swarm Optimization -- Introduction -- Problem Definition: Workflow Grid Scheduling -- Discrete Particle Swarm Optimization for Workflow Grid Scheduling -- Multi Objective Optimization Algorithm Used -- Simulation Results and Discussion -- Performance Evaluation: GD, Spacing -- Conclusion and Future Work -- References -- Solution of Economic Load Dispatch Problem Using Lbest-Particle Swarm Optimization with Dynamically Varying Sub-swarms -- Introduction -- Problem Description -- ELD Formulation with Smooth Cost Function -- ELD Formulation with Non-smooth Cost Function -- An Overview of PSO Algorithm -- Lbest-PSO with Dynamically Varying Sub-swarms -- Results and Discussions -- Six Unit System -- Fifteen Unit System -- Forty Unit System -- Conclusion -- References -- Modified Local Neighborhood Based Niching Particle Swarm Optimization for Multimodal Function Optimization -- Introduction -- Niching Related Works -- Crowding and Restricted Tournament Selection -- Sharing and Clustering -- Clearing -- Speciation.
Overview of the Proposed ML-NichePSO Algorithm.
Sommario/riassunto: These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011. The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.
Titolo autorizzato: Swarm, Evolutionary, and Memetic Computing  Visualizza cluster
ISBN: 3-642-27172-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465993503316
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Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 7076