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Integral Global Optimality Conditions and an Algorithm for Multiobjective Problems.
- Source :
-
Numerical Functional Analysis & Optimization . 2022, Vol. 43 Issue 10, p1265-1288. 24p. - Publication Year :
- 2022
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *INTEGRALS
*APPROXIMATION algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 01630563
- Volume :
- 43
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Numerical Functional Analysis & Optimization
- Publication Type :
- Academic Journal
- Accession number :
- 158144782
- Full Text :
- https://doi.org/10.1080/01630563.2022.2098503