Journal of Computational and Applied Mathematics2022,Vol.41015.DOI:10.1016/j.cam.2022.114122

Multiobjective approximate gradient projection method for constrained vector optimization: Sequential optimality conditions without constraint qualifications

Lai, Kin Keung Maurya, J. K. Mishra, S. K.
Journal of Computational and Applied Mathematics2022,Vol.41015.DOI:10.1016/j.cam.2022.114122

Multiobjective approximate gradient projection method for constrained vector optimization: Sequential optimality conditions without constraint qualifications

Lai, Kin Keung 1Maurya, J. K. 2Mishra, S. K.3
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作者信息

  • 1. Jinan Univ
  • 2. Kashi Naresh Govt Post Grad Coll Gyanpur
  • 3. Banaras Hindu Univ
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Abstract

In this paper, we establish multiobjective approximate gradient projection (MAGP) and linear multiobjective approximate gradient projection (LMAGP) sequential optimality conditions without constraint qualification for multiobjective constrained optimization problems. Further, we introduce constraint qualifications under which a point that satisfies established optimality conditions also satisfies Karush-Kuhn-Tucker optimality conditions. Such constraint qualifications are called strict constraint qualifications. We discuss the relationship between introduced constraint qualifications and validate it by suitable examples. (c) 2022 Elsevier B.V. All rights reserved.

Key words

Multiobjective optimization problems/Sequential optimality conditions/Constraints qualification/Approximate gradient projection method

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量3
参考文献量35
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