Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems

This paper considers the multiobjective bilevel programming problem (MOBLPP) with multiple objective functions at the upper level and a single objective function at the lower level. By adopting the Karush-Kuhn-Tucker (KKT) optimality conditions to the lower level optimization, the original multiobje...

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Veröffentlicht in:	Knowledge-based systems Jg. 107; S. 271 - 288
Hauptverfasser:	Li, Hong, Zhang, Qingfu, Chen, Qin, Zhang, Li, Jiao, Yong-Chang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2016
Schlagworte:	Decomposition Evolutionary algorithms Mathematical analysis Mathematical models MOEA/D Multiobjective bilevel programming problem Multiple objective Nonlinear programming NSGA-II Optimization Pareto optimality Programming Tchebycheff approach Weighted sum approach Pareto optimality NSGA-II Multiobjective bilevel programming problem Weighted sum approach MOEA/D Tchebycheff approach
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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