哈达玛流形上多目标半无限编程问题的效率条件和对偶性

IF 1.8 3区 数学 Q1 Mathematics Journal of Global Optimization Pub Date : 2024-01-31 DOI:10.1007/s10898-024-01367-3
Balendu Bhooshan Upadhyay, Arnav Ghosh, Savin Treanţă
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引用次数: 0

摘要

本文致力于研究哈达玛流形上的一类多目标半无限编程问题(简称(MOSIP-HM))。我们推导了哈达玛流形框架下类似于塔克定理、塔克第一和第二存在定理以及莫兹金替代定理的一些替代定理。我们利用莫茨金替代定理建立了必要条件和充分条件,从而利用强 KKT 向量临界点和 (MOSIP-HM) 的有效解来描述 KKT 伪凸函数的特征。此外,我们还提出了与(MOSIP-HM)相关的蒙德-韦尔和沃尔夫型对偶问题,并推导出了与(MOSIP-HM)和对偶问题相关的弱对偶定理和反对偶定理。论文提供了几个非微观的数值示例来说明推导结果的意义。论文中推导出的结果扩展和概括了文献中已有的几项著名工作。
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Efficiency conditions and duality for multiobjective semi-infinite programming problems on Hadamard manifolds

This paper is devoted to the study of a class of multiobjective semi-infinite programming problems on Hadamard manifolds (in short, (MOSIP-HM)). We derive some alternative theorems analogous to Tucker’s theorem, Tucker’s first and second existence theorem, and Motzkin’s theorem of alternative in the framework of Hadamard manifolds. We employ Motzkin’s theorem of alternative to establish necessary and sufficient conditions that characterize KKT pseudoconvex functions using strong KKT vector critical points and efficient solutions of (MOSIP-HM). Moreover, we formulate the Mond-Weir and Wolfe-type dual problems related to (MOSIP-HM) and derive the weak and converse duality theorems relating (MOSIP-HM) and the dual problems. Several non-trivial numerical examples are provided to illustrate the significance of the derived results. The results deduced in the paper extend and generalize several notable works existing in the literature.

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来源期刊
Journal of Global Optimization
Journal of Global Optimization 数学-应用数学
CiteScore
0.10
自引率
5.60%
发文量
137
审稿时长
6 months
期刊介绍: The Journal of Global Optimization publishes carefully refereed papers that encompass theoretical, computational, and applied aspects of global optimization. While the focus is on original research contributions dealing with the search for global optima of non-convex, multi-extremal problems, the journal’s scope covers optimization in the widest sense, including nonlinear, mixed integer, combinatorial, stochastic, robust, multi-objective optimization, computational geometry, and equilibrium problems. Relevant works on data-driven methods and optimization-based data mining are of special interest. In addition to papers covering theory and algorithms of global optimization, the journal publishes significant papers on numerical experiments, new testbeds, and applications in engineering, management, and the sciences. Applications of particular interest include healthcare, computational biochemistry, energy systems, telecommunications, and finance. Apart from full-length articles, the journal features short communications on both open and solved global optimization problems. It also offers reviews of relevant books and publishes special issues.
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