| Autor: |
TOUGMA, APPOLINAIRE, KABORÉ, AUGUSTIN, SOMÉ, KOUNHINIR |
| Předmět: |
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| Zdroj: |
Gulf Journal of Mathematics; 2024, Vol. 16 Issue 2, p151-170, 20p |
| Abstrakt: |
In this article, we propose an adaptation of the Hyperbolic Augmented Lagrangian algorithm to solve multiobjective optimization problems. After conducting a literature review, we provide a definition of the Hyperbolic Augmented Lagrange method. Under clearly defined assumptions, we demonstrate that any limit point of a sequence generated by the proposed approach is feasible and constitutes a Pareto-optimal solution. To assess the effectiveness of the proposed algorithm, we incorporate two variants of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method, thereby offering two approaches for solving well-known tests problems from the literature. We employ metrics to evaluate the performance of these two approaches. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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