向量变分e不等式与可微向量优化问题

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Tadeusz Antczak, Najeeb Abdulaleem
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引用次数: 0

摘要

摘要为了刻画一类非凸可微多目标规划问题的最优性,我们引入了两种新的类向量变分不等式,即弱变分E -不等式和向量变分E -不等式。即,在(严格)E -凸性条件下,我们证明了上述向量类变分不等式与可微向量优化问题之间的关系。此外,在(严格)伪E -凸性条件下,我们能够识别向量临界E点、可微向量优化问题的弱E - pareto (E - pareto)解以及这些引入的向量类变分不等式的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On vector variational E-inequalities and differentiable vector optimization problem
Abstract In this paper, in order to characterize optimality of a class of nonconvex differentiable multiobjective programming problems, we introduce two new types of vector variational-like inequalities, namely, a weak variational E -inequality and a vector variational E -inequality. Namely, under (strictly) E -convexity, we prove relationships between the aforesaid vector variational-like inequalities and differentiable vector optimization problems. Further, under (strictly) pseudo- E -convexity, we are in position to identify vector critical E -points, weak E -Pareto ( E -Pareto) solutions of differentiable vector optimization problems and solutions of these introduced vector variational-like inequalities.
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来源期刊
Opsearch
Opsearch OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
3.10
自引率
6.20%
发文量
38
期刊介绍: The Journal publishes peer-reviewed original articles dealing with key aspects of operations research. The Journal welcomes submissions in the following domain areas: Decision analysis Computer and information technologies Financial engineering Marketing Mathematical programming Discrete optimization Public policy and OR in public sectors Inventory, supply chain and operations management Simulation Stochastic models Revenue management and dynamic pricing Telecommunication and network planning Reliability Transportation Optimization approaches for solving BL-MOLFP problem Fuzzy EOQ model Evolutionary computing Multi criteria decision model Goal programming
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