Adaptive differential evolution algorithm for multiobjective optimization problems

In this paper, a new adaptive differential evolution algorithm (ADEA) is proposed for multiobjective optimization problems. In ADEA, the variable parameter F based on the number of the current Pareto-front and the diversity of the current solutions is given for adjusting search size in every generat...

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Veröffentlicht in:	Applied mathematics and computation Jg. 201; H. 1; S. 431 - 440
Hauptverfasser:	Qian, Weiyi, li, Ajun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Elsevier Inc 15.07.2008 Elsevier
Schlagworte:	Adaptive Differential evolution algorithm Exact sciences and technology Global analysis, analysis on manifolds Mathematical analysis Mathematics Multiobjective optimization problems Numerical analysis Numerical analysis. Scientific computation Sciences and techniques of general use Select operator Topology. Manifolds and cell complexes. Global analysis and analysis on manifolds Multiobjective optimization problems Select operator Differential evolution algorithm Adaptive Numerical analysis Adaptive algorithm Applied mathematics Optimization method Implementation Sorting
ISSN:	0096-3003, 1873-5649
Online-Zugang:	Volltext
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