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...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2024-11-01
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| Rangatū: | Mathematics |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2227-7390/12/23/3676 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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