Enhancing Metaheuristic Algorithm Performance Through Structured Population and Evolutionary Game Theory
Diversity is crucial for metaheuristic algorithms. It prevents early convergence, balances exploration and exploitation, and helps to avoid local optima. Traditional metaheuristic algorithms tend to rely on a single strategy for generating new solutions, often resulting in a lack of diversity. In co...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2024-11-01
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| Serie: | Mathematics |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2227-7390/12/23/3676 |
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