Choosing leaders for multi-objective PSO algorithms using differential evolution

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5361 LNAI, Issue , 2008, Pages 249-258

  Wickramasinghe, W R M U K ^a   Li, X ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

Differential evolution; Hybrid; Multi modal problems; Multi objective optimization; Particle swarm

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION; PARETO PRINCIPLE; PARTICLE SWARM OPTIMIZATION (PSO);

DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION OPERATORS; FAST CONVERGENCES; HYBRID; LOCAL OPTIMAL; MULTI-MODAL PROBLEMS; NEW APPROACHES; PARTICLE SWARM; PARTICLE SWARM ALGORITHMS; PSO ALGORITHMS; ROBUST ALGORITHMS; TEST PROBLEMS;

EVOLUTIONARY ALGORITHMS;

EID: 58349110809     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89694-4_26     Document Type: Conference Paper

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