Mathematics (Aug 2024)

A Minimax-Program-Based Approach for Robust Fractional Multi-Objective Optimization

  • Henan Li,
  • Zhe Hong,
  • Do Sang Kim

DOI
https://doi.org/10.3390/math12162475
Journal volume & issue
Vol. 12, no. 16
p. 2475

Abstract

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In this paper, by making use of some advanced tools from variational analysis and generalized differentiation, we establish necessary optimality conditions for a class of robust fractional minimax programming problems. Sufficient optimality conditions for the considered problem are also obtained by means of generalized convex functions. Additionally, we formulate a dual problem to the primal one and examine duality relations between them. In our results, by using the obtained results, we obtain necessary and sufficient optimality conditions for a class of robust fractional multi-objective optimization problems.

Keywords