A hybrid of particle swarm optimization and local search for multimodal functions

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

Volumn 6145 LNCS, Issue PART 1, 2010, Pages 589-596

  Qin, Jin ^a,b   Yin, Yixin ^a   Ban, Xiaojuan ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b GUIZHOU UNIVERSITY   (China)

Author keywords

Exploitation; Exploration; Local Search; Multimodal function; Particle swarm optimization

Indexed keywords

EMPIRICAL STUDIES; EXPLORATION; EXPLORATION AND EXPLOITATION; HYBRID ALGORITHMS; LOCAL REGION; LOCAL SEARCH; LOCAL SEARCH ALGORITHM; MULTI MODAL FUNCTION; MULTIPLE SOLUTIONS; NICHING TECHNIQUES; PREMATURE CONVERGENCE; PSO ALGORITHMS; SOLUTION SPACE; STANDARD PSO;

CELLULAR AUTOMATA; CONVERGENCE OF NUMERICAL METHODS; LEARNING ALGORITHMS; STANDARDS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77954643691     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13495-1_72     Document Type: Conference Paper

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