An l1 Exact Exponential Penalty E-Function Method for E-Differentiable Vector Optimization Problems Under E-Exponential Type Invexity

IF 2.4 Q3 MANAGEMENT Journal of Multi-Criteria Decision Analysis Pub Date : 2025-02-26 DOI:10.1002/mcda.70009
Neelima Shekhawat, Ioan Stancu-Minasian, Vivek Singh
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Abstract

In this paper, a new concept of generalised convexity and a new class of exact exponential penalty method, namely the concept of p , r $$ \left(p,r\right) $$ -E-invexity and l 1 $$ {l}_1 $$ exact exponential penalty E-function method, respectively are introduced for (not necessarily) differentiable vector optimization problem in which functions are E-differentiable. The conditions governing the equivalence between sets of (weak) efficient solutions of the original constrained E-differentiable vector optimization problem and of its associated unconstrained exponential penalised vector optimization problem are studied. Examples are given to illustrate the obtained results.

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e -指数型幂指数下e -可微向量优化问题的1 - 1精确指数罚e -函数法
本文提出了广义凸性的新概念和一类新的精确指数惩罚方法,即p的概念,r $$ \left(p,r\right) $$ -E-invexity法和l 1 $$ {l}_1 $$精确指数罚e -函数法分别用于(不一定)函数可微的可微向量优化问题。研究了原约束e -可微矢量优化问题及其相关的无约束指数惩罚矢量优化问题的(弱)有效解集等价的条件。给出了实例来说明所得结果。
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CiteScore
4.70
自引率
10.00%
发文量
14
期刊介绍: The Journal of Multi-Criteria Decision Analysis was launched in 1992, and from the outset has aimed to be the repository of choice for papers covering all aspects of MCDA/MCDM. The journal provides an international forum for the presentation and discussion of all aspects of research, application and evaluation of multi-criteria decision analysis, and publishes material from a variety of disciplines and all schools of thought. Papers addressing mathematical, theoretical, and behavioural aspects are welcome, as are case studies, applications and evaluation of techniques and methodologies.
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