Optimality Conditions of the Approximate Efficiency for Nonsmooth Robust Multiobjective Fractional Semi-Infinite Optimization Problems

This paper is devoted to the investigation of optimality conditions and saddle point theorems for robust approximate quasi-weak efficient solutions for a nonsmooth uncertain multiobjective fractional semi-infinite optimization problem (NUMFP). Firstly, a necessary optimality condition is established...

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Vydáno v:Axioms Ročník 12; číslo 7; s. 635
Hlavní autoři: Gao, Liu, Yu, Guolin, Han, Wenyan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.07.2023
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ISSN:2075-1680, 2075-1680
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Abstract This paper is devoted to the investigation of optimality conditions and saddle point theorems for robust approximate quasi-weak efficient solutions for a nonsmooth uncertain multiobjective fractional semi-infinite optimization problem (NUMFP). Firstly, a necessary optimality condition is established by using the properties of the Gerstewitz’s function. Furthermore, a kind of approximate pseudo/quasi-convex function is defined for the problem (NUMFP), and under its assumption, a sufficient optimality condition is obtained. Finally, we introduce the notion of a robust approximate quasi-weak saddle point to the problem (NUMFP) and prove corresponding saddle point theorems.
AbstractList This paper is devoted to the investigation of optimality conditions and saddle point theorems for robust approximate quasi-weak efficient solutions for a nonsmooth uncertain multiobjective fractional semi-infinite optimization problem (NUMFP). Firstly, a necessary optimality condition is established by using the properties of the Gerstewitz’s function. Furthermore, a kind of approximate pseudo/quasi-convex function is defined for the problem (NUMFP), and under its assumption, a sufficient optimality condition is obtained. Finally, we introduce the notion of a robust approximate quasi-weak saddle point to the problem (NUMFP) and prove corresponding saddle point theorems.
Audience Academic
Author Gao, Liu
Han, Wenyan
Yu, Guolin
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10.1007/978-3-642-21114-0_8
10.1007/BF00940478
10.1007/s10957-018-1437-8
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10.1016/j.jmaa.2008.10.009
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SubjectTerms approximate solution
Euclidean space
generalized convexity
Mathematical optimization
Mathematical research
multiobjective semi-infinite optimization
Multiple objective analysis
optimality conditions
Optimization
Robustness
saddle point
Saddle points
Theorems
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