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Main Authors: Zhou, Li-wen, Tang, Min, Yi, Ya-ling, Zhang, Yao-Jia
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2412.12895
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author Zhou, Li-wen
Tang, Min
Yi, Ya-ling
Zhang, Yao-Jia
author_facet Zhou, Li-wen
Tang, Min
Yi, Ya-ling
Zhang, Yao-Jia
contents This paper introduces and studies the generalized optimization problem (for short, GOP) defined by the conic order relation on a local sphere. The existence of solution to this problem is studied by using image space analysis (for short, ISA), and a class of regular weak separation functions on the local sphere is established. Moreover, a Lagrangian-type sufficient optimality condition and a saddle-point-type necessary optimality condition for GOP is obtained by a second class of weak separation functions, which are based on the Gerstewitz function and the directional distance function. The problem is transformed into a solvable real-valued optimization problem using scalarization methods.
format Preprint
id arxiv_https___arxiv_org_abs_2412_12895
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Image Space Analysis to the generalized optimization problem on a local sphere
Zhou, Li-wen
Tang, Min
Yi, Ya-ling
Zhang, Yao-Jia
Optimization and Control
This paper introduces and studies the generalized optimization problem (for short, GOP) defined by the conic order relation on a local sphere. The existence of solution to this problem is studied by using image space analysis (for short, ISA), and a class of regular weak separation functions on the local sphere is established. Moreover, a Lagrangian-type sufficient optimality condition and a saddle-point-type necessary optimality condition for GOP is obtained by a second class of weak separation functions, which are based on the Gerstewitz function and the directional distance function. The problem is transformed into a solvable real-valued optimization problem using scalarization methods.
title Image Space Analysis to the generalized optimization problem on a local sphere
topic Optimization and Control
url https://arxiv.org/abs/2412.12895