calumniate 发表于 2025-3-30 11:53:54

Memory-Driven Metaheuristics: Improving Optimization Performancey highlighting the importance of memory in metaheuristic performance and providing future research directions for improving memory mechanisms. The key takeaways are that memory mechanisms can significantly enhance the performance of metaheuristics by enabling them to explore and exploit the search s

不爱防注射 发表于 2025-3-30 14:35:59

https://doi.org/10.1007/978-981-97-3820-5Engineering Optimization; Nature inspired Methods; Heuristics; Resource Optimization; Machine Learning; N

artifice 发表于 2025-3-30 16:50:35

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BABY 发表于 2025-3-30 22:17:38

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infringe 发表于 2025-3-31 03:28:59

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regale 发表于 2025-3-31 08:47:59

Reference work 2024-based optimization. This handbook is an excellent reference for experts and non-specialists alike, as it provides stimulating material. The book also covers research trends, challenges, and prospective topics, making it a valuable resource for those looking to expand their knowledge in this field..
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查看完整版本: Titlebook: Handbook of Formal Optimization; Anand J. Kulkarni,Amir H. Gandomi Reference work 2024 Springer Nature Singapore Pte Ltd. 2024 Engineering