Parameter tuning boosts performance of variation operators in multiobjective optimization

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

Volumn 6238 LNCS, Issue PART 1, 2010, Pages 728-737

  Wessing, Simon ^a   Beume, Nicola ^a   Rudolph, Günter ^a   Naujoks, Boris ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

benchmarking; multiobjective variation operators; parameter tuning; performance assessment; sequential parameter optimization

Indexed keywords

DIFFERENTIAL EVOLUTION; EMPIRICAL STUDIES; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; MULTI OBJECTIVE; OPTIMIZED PARAMETER; PARAMETER OPTIMIZATION; PARAMETER TUNING; PARAMETERIZATIONS; PERFORMANCE ASSESSMENT; POLYNOMIAL MUTATION; S-METRIC SELECTION; SIMULATED BINARY CROSSOVER; VARIATION OPERATOR;

BENCHMARKING; EVOLUTIONARY ALGORITHMS; MATHEMATICAL OPERATORS; PROBLEM SOLVING; TUNING;

MULTIOBJECTIVE OPTIMIZATION;

EID: 78149253731     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15844-5_73     Document Type: Conference Paper

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