Detecting promising areas by evolutionary clustering search

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

Volumn 3171, Issue , 2004, Pages 385-394

  Oliveira, Alexandre C M ^a,b   Lorena, Luiz A N ^b  

^a FEDERAL UNIVERSITY OF MARANHÃO   (Brazil)

^b INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

Hybrid evolutionary algorithms; Unconstrained numerical optimization

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; ITERATIVE METHODS; LOCAL SEARCH (OPTIMIZATION); NUMERICAL METHODS; OPTIMIZATION;

EFFICIENT STRATEGY; EVOLUTIONARY CLUSTERING; HYBRID EVOLUTIONARY ALGORITHM; ITERATIVE CLUSTERING; LOCAL SEARCH; NUMERICAL OPTIMIZATIONS; SEARCH SPACES; SEARCH STRATEGIES;

EVOLUTIONARY ALGORITHMS;

EID: 34548334039     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28645-5_39     Document Type: Article

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