Integral Global Optimality Conditions and an Algorithm for Multiobjective Problems

Fuente: arXiv
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Autores principales: Silva, Everton J., Karas, Elizabeth W., Santos, Lucelina B.
Formato: Preprint
Publicado: 2022
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author Silva, Everton J.
Karas, Elizabeth W.
Santos, Lucelina B.
author_facet Silva, Everton J.
Karas, Elizabeth W.
Santos, Lucelina B.
contents In this work, we propose integral global optimality conditions for multiobjective problems not necessarily differentiable. The integral characterization, already known for single objective problems, are extended to multiobjective problems by weighted sum and Chebyshev weighted scalarizations. Using this last scalarization, we propose an algorithm for obtaining an approximation of the weak Pareto front whose effectiveness is illustrated by solving a collection of multiobjective test problems.
format Preprint
id arxiv_https___arxiv_org_abs_2205_00528
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Integral Global Optimality Conditions and an Algorithm for Multiobjective Problems
Silva, Everton J.
Karas, Elizabeth W.
Santos, Lucelina B.
Optimization and Control
In this work, we propose integral global optimality conditions for multiobjective problems not necessarily differentiable. The integral characterization, already known for single objective problems, are extended to multiobjective problems by weighted sum and Chebyshev weighted scalarizations. Using this last scalarization, we propose an algorithm for obtaining an approximation of the weak Pareto front whose effectiveness is illustrated by solving a collection of multiobjective test problems.
title Integral Global Optimality Conditions and an Algorithm for Multiobjective Problems
topic Optimization and Control
url https://arxiv.org/abs/2205.00528