Approximate Solutions to Nonsmooth Multiobjective Programming Problems

Authors

  • Mohammad Golestani Author

Keywords:

Mathematical programming, optimality conditions, nonlinear programming, nonsmooth analysis and approximate conditions.

Abstract

We consider a multiobjective mathematical programming problem with inequality and equality constraints, where all functions are locally Lipschitz. An approximate strong Karush-Kuhn-Tucker (ASKKT for short) condition is defined and we show that every local efficient solution is an ASKKT point without any additional condition. Then a nonsmooth version of cone-continuity regularity is
defined for this kind of problem. It is revealed that every ASKKT point under the cone-continuity regularity is a strong Karush-Kuhn-Tucker (SKKT for short) point. Correspondingly, the ASKKTs and the cone-continuity property are defined and the relations between them are investigated.

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Published

2022-01-05

How to Cite

Approximate Solutions to Nonsmooth Multiobjective Programming Problems. (2022). Minimax Theory and Its Applications, 7(1), 119–130. https://journalmta.com/index.php/jmta/article/view/177