Titlebook: Handbook of Formal Optimization; Anand J. Kulkarni,Amir H. Gandomi Reference work 2024 Springer Nature Singapore Pte Ltd. 2024 Engineering

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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

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

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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..