Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning

Biogeography-based optimization (BBO) is a powerful population-based algorithm inspired by biogeography and has been extensively applied to many science and engineering problems. However, its direct-copying-based migration and random mutation operators make BBO possess local exploitation ability but...

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Veröffentlicht in:	Computers & operations research Jg. 41; S. 125 - 139
Hauptverfasser:	Xiong, Guojiang, Shi, Dongyuan, Duan, Xianzhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.01.2014 Elsevier Pergamon Press Inc
Schlagworte:	Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Biogeography Biogeography-based optimization Computer science; control theory; systems Design of experiments Exact sciences and technology Experimental design Global numerical optimization Mathematical analysis Mathematical models Mathematical problems Mathematics Migration Operations research Operators Optimization algorithms Orthogonal experimental design (OED) Orthogonal learning Performance enhancement Polyphyletic migration operator Probability and statistics Sciences and techniques of general use Searching Statistics Strategy Studies Theoretical computing Vector space Global numerical optimization Orthogonal learning Biogeography-based optimization Orthogonal experimental design (OED) Polyphyletic migration operator Orthogonal design Probabilistic approach Useful information Evolutionary algorithm Migration Biogeography Global optimum Information retrieval Experimental result Experimental design Reasoning Heuristic method Convergence rate Defect Swarm intelligence Learning algorithm Numerical convergence
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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