An effective hybrid algorithm based on simplex search and differential evolution for global optimization

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

Volumn 5755 LNAI, Issue , 2009, Pages 341-350

  Xu, Ye ^a   Wang, Ling ^a   Li, Lingpo ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Differential evolution; Global optimization; Hybrid algorithm; Nelder Mead simplex search

Indexed keywords

BENCHMARK FUNCTIONS; CONVERGENCE RATES; DE ALGORITHMS; DIFFERENT MECHANISMS; DIFFERENTIAL EVOLUTION; EVOLUTIONARY SEARCH; EXPLORATION AND EXPLOITATION; HYBRID ALGORITHM; HYBRID ALGORITHMS; NELDER-MEAD SIMPLEX SEARCH; NUMERICAL SIMULATION; QUALITY OF SOLUTION; SEARCHING BEHAVIOR; SEARCHING MECHANISM; SIMPLEX METHODS; SIMPLEX SEARCH; SOLUTION QUALITY; STATISTICAL COMPARISONS;

COMPUTER SCIENCE; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; GLOBAL OPTIMIZATION; INTELLIGENT COMPUTING; OPTIMIZATION;

EVOLUTIONARY ALGORITHMS;

EID: 70350405457     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04020-7_36     Document Type: Conference Paper

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