Allocation of Starting Points in Global Optimization Problems
We propose new multistart techniques for finding good local solutions in global optimization problems. The objective function is assumed to be differentiable, and the feasible set is a convex compact set. The techniques are based on finding maximum distant points on the feasible set. A special global optimization problem is used to determine the maximum distant points. Preliminary computational results are given. © 2024 by the authors.
Библиографическая ссылка Khamisov O. , Semenkin E. , Nelyub V. Allocation of Starting Points in Global Optimization Problems // Mathematics. Vol.12. №4. ID:606. 2024. DOI: 10.3390/math12040606
Проиндексировано: WOS
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