A redistributed cutting plane bundle-type algorithm for multiobjective nonsmooth optimization

I construct a new cutting-plane model for approximating nonsmooth nonconvex functions in multiobjective optimization and propose a new bundle-type method with the help of an improvement function. The presented bundle method possesses three features. Firstly, the objective and constraint functions ar...

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Main Author: Jia-Tong Li
Format: Article
Language:English
Published: AIMS Press 2022-05-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2022710?viewType=HTML
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author Jia-Tong Li
author_facet Jia-Tong Li
author_sort Jia-Tong Li
collection DOAJ
description I construct a new cutting-plane model for approximating nonsmooth nonconvex functions in multiobjective optimization and propose a new bundle-type method with the help of an improvement function. The presented bundle method possesses three features. Firstly, the objective and constraint functions are approximated by a new cutting-plane model, which is a local convexification of the corresponding functions, instead of the entire approximation for the functions, as most bundle methods do. Secondly, the subgradients and values of the objective and constraint functions are computed approximately. In other words, approximate calculation is applied to the method, and the proposed algorithm is doubly approximate to some extent. Thirdly, the introduction of the improvement function eliminates the necessity of employing any scalarization, which is the usual method when dealing with multiobjective optimization. Under reasonable conditions satisfactory convergence results are obtained.
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spelling doaj.art-665e46af684c4edca7586e47cccf832f2022-12-22T00:40:04ZengAIMS PressAIMS Mathematics2473-69882022-05-0177128271284110.3934/math.2022710A redistributed cutting plane bundle-type algorithm for multiobjective nonsmooth optimizationJia-Tong Li 0 College of Science, Northeast Forestry University, Harbin 150040, ChinaI construct a new cutting-plane model for approximating nonsmooth nonconvex functions in multiobjective optimization and propose a new bundle-type method with the help of an improvement function. The presented bundle method possesses three features. Firstly, the objective and constraint functions are approximated by a new cutting-plane model, which is a local convexification of the corresponding functions, instead of the entire approximation for the functions, as most bundle methods do. Secondly, the subgradients and values of the objective and constraint functions are computed approximately. In other words, approximate calculation is applied to the method, and the proposed algorithm is doubly approximate to some extent. Thirdly, the introduction of the improvement function eliminates the necessity of employing any scalarization, which is the usual method when dealing with multiobjective optimization. Under reasonable conditions satisfactory convergence results are obtained.https://www.aimspress.com/article/doi/10.3934/math.2022710?viewType=HTMLmultiobjective nonsmooth optimizationcutting-plane modelredistributed bundle methodapproximate calculationsubgradient
spellingShingle Jia-Tong Li
A redistributed cutting plane bundle-type algorithm for multiobjective nonsmooth optimization
AIMS Mathematics
multiobjective nonsmooth optimization
cutting-plane model
redistributed bundle method
approximate calculation
subgradient
title A redistributed cutting plane bundle-type algorithm for multiobjective nonsmooth optimization
title_full A redistributed cutting plane bundle-type algorithm for multiobjective nonsmooth optimization
title_fullStr A redistributed cutting plane bundle-type algorithm for multiobjective nonsmooth optimization
title_full_unstemmed A redistributed cutting plane bundle-type algorithm for multiobjective nonsmooth optimization
title_short A redistributed cutting plane bundle-type algorithm for multiobjective nonsmooth optimization
title_sort redistributed cutting plane bundle type algorithm for multiobjective nonsmooth optimization
topic multiobjective nonsmooth optimization
cutting-plane model
redistributed bundle method
approximate calculation
subgradient
url https://www.aimspress.com/article/doi/10.3934/math.2022710?viewType=HTML
work_keys_str_mv AT jiatongli aredistributedcuttingplanebundletypealgorithmformultiobjectivenonsmoothoptimization
AT jiatongli redistributedcuttingplanebundletypealgorithmformultiobjectivenonsmoothoptimization