Strong and weak conditions of regularity and optimality

Q4 Mathematics
V. Vivanco-Orellana, R. Osuna‐Gómez, L. B. dos Santos, M. Rojas-Medar
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引用次数: 0

Abstract

. Nondegenerate optimality conditions for Pareto and weak Pareto optimal solutions to multiobjective optimization problems with inequality and multi-equality constraints determined by Fréchet differentiable functions are established. First, weak and strong regularity conditions are derived, in order to determine weak Karush–Kuhn–Tucker (positivity of at least one Lagrange multiplier associated with objective functions) and strong Karush–Kuhn–Tucker (positivity of all the Lagrange multipliers associated with objective functions) conditions. Subsequently, the class of problems for which every weak (resp. strong) Karush–Kuhn–Tucker point is weak (resp. strong) Pareto solution is characterized. In addition examples that illustrate our results are presented.
规则性和最优性的强弱条件
。建立了由fr切可微函数确定不等式和多等式约束的多目标优化问题Pareto和弱Pareto最优解的非退化最优性条件。首先,导出弱正则条件和强正则条件,以确定弱Karush-Kuhn-Tucker(至少一个拉格朗日乘子与目标函数相关的正)和强Karush-Kuhn-Tucker(所有拉格朗日乘子与目标函数相关的正)条件。随后,得到了一类问题,其中每个弱函数都对应。Karush-Kuhn-Tucker点是弱的。强)帕累托解的特征。此外,还给出了一些例子来说明我们的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applicationes Mathematicae
Applicationes Mathematicae Mathematics-Applied Mathematics
CiteScore
0.30
自引率
0.00%
发文量
7
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