A stagnation-resistant surrogate-assisted evolutionary algorithm for expensive multimodal problems
Identifying multiple global optimal solutions is a challenging task, especially when evaluating the objective function is computationally expensive. This type of problem is classified as an expensive multimodal optimization problem. Typically, surrogate models are employed to solve such problems. Ho...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Taylor & Francis Group
2026-12-01
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| Reeks: | Systems Science & Control Engineering |
| Onderwerpen: | |
| Online toegang: | https://www.tandfonline.com/doi/10.1080/21642583.2026.2613488 |
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