Study of Pareto Optimality of Exponential Penalty E-Function Method for E-Differentiable Vector Optimization Problems
Abstract
This article presents a study of the optimality conditions for multiobjective optimisation problems in so-called E-convex sets.This study focused on the application of the reductive approach of exponential penalisation at the level of E-convex sets and functions and the study of Karush-Kuhn-Tucker and Pareto optimality conditions.The theoretical results from this study demonstrate the efficiency of the exponential penalty approach in finding Pareto optimal solutions in the space of E-convex sets and functions.
Fields of Study & Subjects
Optimization and Variational Analysis
Advanced Multi-Objective Optimization Algorithms
Advanced Optimization Algorithms Research
Publication details
- Journal / source
- Asia Pacific Journal of Mathematics
- Volume
- 13
- Pages
- 18–18
- Publication date
- 1 January 2026
- Language
- EN