Sensitivity Analysis of Multiobjective Optimization Problems with Parameterized Quasi-Variational Inequalities

This paper mainly establishes the sensitivity analysis of a multiobjective optimization problem with parameterized quasi-variational inequalities (QVIs). Using the (regular) coderivative of the associated epigraphical multifunction, the (regular) subdifferentials of the efficient frontier maps are e...

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Veröffentlicht in:Numerical functional analysis and optimization Jg. 39; H. 2; S. 155 - 178
Hauptverfasser: Pang, Li-Ping, Meng, Fan-Yun, Lv, Jian, Tian, Qi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 25.01.2018
Taylor & Francis Ltd
Schlagworte:
Coderivatives
efficient frontier maps
Inequalities
Mathematical programming
multiobjective optimization
Multiple objective analysis
Optimization
Parameterization
parameterized quasi-variational inequalities
Sensitivity analysis
ISSN:0163-0563, 1532-2467
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Zusammenfassung:This paper mainly establishes the sensitivity analysis of a multiobjective optimization problem with parameterized quasi-variational inequalities (QVIs). Using the (regular) coderivative of the associated epigraphical multifunction, the (regular) subdifferentials of the efficient frontier maps are estimated, which involve the (regular) coderivatives of the solution mapping to the parameterized QVIs. Under the linear independent constraint qualification, the defined auxiliary set-valued mappings in the parameterized QVIs are clam. The detailed formulae of subdifferentials of the efficient frontier maps are obtained and examples are simultaneously provided for analyzing and illustrating the obtained results.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0163-0563
1532-2467
DOI:10.1080/01630563.2017.1355813