A general framework of multipopulation methods with clustering in undetectable dynamic environments

IEEE Transactions on Evolutionary Computation

Volumn 16, Issue 4, 2012, Pages 556-577

  Li, Changhe ^a   Yang, Shengxiang ^b  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Clustering; differential evolution; dynamic optimization problem; genetic algorithm; multiple population methods; particle swarm optimization undetectable dynamism

Indexed keywords

CHANGE DETECTION; CLUSTERING; CLUSTERING METHODS; DIFFERENTIAL EVOLUTION; DYNAMIC ENVIRONMENTS; DYNAMIC OPTIMIZATION PROBLEM (DOP); EXPERIMENTAL STUDIES; FITNESS LANDSCAPE; GLOBAL OPTIMUM; HIERARCHICAL CLUSTERING METHODS; MULTI POPULATION; MULTIPLE POPULATION METHODS; POPULATION DIVERSITY; RANDOM IMMIGRANTS; SEARCH SPACES; SUB-AREAS;

BENCHMARKING; GENETIC ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO);

PROBLEM SOLVING;

EID: 84861999497     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEVC.2011.2169966     Document Type: Article

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