Integral Global Optimality Conditions and an Algorithm for Multiobjective Problems
نویسندگان
چکیده
In this work, we propose integral global optimality conditions for multiobjective problems not necessarily differentiable. The characterization, already known single objective problems, are extended to by weighted sum and Chebyshev scalarizations. Using last scalarization, an algorithm obtaining approximation of the weak Pareto front whose effectiveness is illustrated solving a collection test problems.
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ژورنال
عنوان ژورنال: Numerical Functional Analysis and Optimization
سال: 2022
ISSN: ['1532-2467', '0163-0563']
DOI: https://doi.org/10.1080/01630563.2022.2098503