Hybridizing differential evolution and particle swarm optimization to design powerful optimizers: A review and taxonomy

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 42, Issue 5, 2012, Pages 744-767

  Xin, Bin ^a,b,c   Chen, Jie ^a,b   Zhang, Juan ^a,b   Fang, Hao ^a,b   Peng, Zhi Hong ^a,b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Differential evolution (DE); evolutionary optimization; exploration and exploitation; hybridization strategies; memetic algorithms (MAs); particle swarm optimization (PSO); population based metaheuristics; taxonomy

Indexed keywords

DIFFERENTIAL EVOLUTION; EVOLUTIONARY OPTIMIZATIONS; EXPLORATION AND EXPLOITATION; HYBRIDIZATION STRATEGIES; MEMETIC ALGORITHMS; META HEURISTICS;

DESIGN; PHILOSOPHICAL ASPECTS; RESEARCH; TAXONOMIES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84865440115     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2011.2160941     Document Type: Article

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