Analysis of inverted PBI and comparison with other scalarizing functions in decomposition based MOEAs

MOEA/D is one of the promising evolutionary approaches for solving multi and many-objective optimization problems. MOEA/D decomposes a multi-objective optimization problem into a number of single objective optimization problems. Each single objective optimization problem is defined by a scalarizing...

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Veröffentlicht in:	Journal of heuristics Jg. 21; H. 6; S. 819 - 849
1. Verfasser:	Sato, Hiroyuki
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2015 Springer Nature B.V
Schlagworte:	Analysis Artificial Intelligence Calculus of Variations and Optimal Control; Optimization Decomposition Genetic algorithms Heuristic Management Science Mathematics Mathematics and Statistics Operations Research Operations Research/Decision Theory Optimization Optimization techniques Pareto optimum Population Studies MOEA/D Evolutionary multi-objective optimization Scalarizing functions
ISSN:	1381-1231, 1572-9397
Online-Zugang:	Volltext
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