A particle swarm optimization-nelder mead hybrid algorithm for balanced exploration and exploitation in multidimensional search space

Proceedings of the 2006 International Conference on Artificial Intelligence, ICAI'06

Volumn 2, Issue , 2006, Pages 457-464

  Koduru, Praveen ^a   Das, Sanjoy ^a   Welch, Stephen M ^b  

^a 129 Seaton Hall   (United States)

^b KANSAS STATE UNIVERSITY   (United States)

Author keywords

Bio inspired computing; Evolutionary algorithms; Optimization and genomics; Swarm intelligence

Indexed keywords

BENCH-MARK PROBLEMS; BIO-INSPIRED COMPUTING; BIOLOGICALLY INSPIRED; EXPLORATION AND EXPLOITATION; FASTER CONVERGENCE; GENE MODEL; GENOMICS; HYBRID ALGORITHMS; HYBRIDIZATION METHODS; MULTIDIMENSIONAL SEARCH; NELDER-MEAD SIMPLEX; PARTICLE SWARM; RATE OF CONVERGENCE; SWARM INTELLIGENCE;

ALGORITHMS; APPROXIMATION THEORY; ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS; GENES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 34548086128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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