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Titlebook: Metaheuristics; 15th International C Marc Sevaux,Alexandru-Liviu Olteanu,Salma Makboul Conference proceedings 2024 The Editor(s) (if applic

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發(fā)表于 2025-3-21 18:13:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Metaheuristics
副標(biāo)題15th International C
編輯Marc Sevaux,Alexandru-Liviu Olteanu,Salma Makboul
視頻videohttp://file.papertrans.cn/632/631356/631356.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Metaheuristics; 15th International C Marc Sevaux,Alexandru-Liviu Olteanu,Salma Makboul Conference proceedings 2024 The Editor(s) (if applic
描述.This volume constitutes the refereed proceedings of Metaheuristics on 15th International Conference, MIC 2024, held in Lorient, France, during June 4–7, 2024...The 36 full papers presented together with 34 short papers were carefully reviewed and selected from 127 submissions. The conference focuses on artificial intelligence, combinatorial optimization, computer science, graph theory, evolutionary algorithms, genetic algorithms, simulated annealing, optimization, optimization problems..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; combinatorial optimization; computer science; graph theory; evolutionary algori
版次1
doihttps://doi.org/10.1007/978-3-031-62922-8
isbn_softcover978-3-031-62921-1
isbn_ebook978-3-031-62922-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
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板凳
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Deep Reinforcement Learning for?Smart Restarts in?Exploration-Only Exploitation-Only Hybrid Metaheur, indicating significant improvements in optimization performance. Our findings not only confirm the potential of reinforcement learning in enhancing metaheuristic hybrids but also pave the way for new research directions in intelligent optimization strategies.
地板
發(fā)表于 2025-3-22 05:13:20 | 只看該作者
An Empirical Analysis of?Tabu Lists using a well-known benchmark problem, the Permutation Flow Shop Scheduling Problem. The results show that the tabu list component does not significantly differ from the final result. Nevertheless, the strategies exhibit diverse search trajectories related to distinct prohibition structures.
5#
發(fā)表于 2025-3-22 10:26:35 | 只看該作者
Large Neighborhood Search for?the?Capacitated P-Median Problem available in the literature and show that this method provides a lower average GAP value for instances up to 5000 facilities. Additionally, our LNS algorithm found new best solutions for seven evaluated instances.
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發(fā)表于 2025-3-22 13:43:39 | 只看該作者
Matheuristic Variants of?DSATUR for?the?Vertex Coloring Problemined with local optimization to improve first lower bounds implied by cliques. Computational results are provided to analyze inefficiency causes of DSATUR heuristic, highlighting the strengths and weaknesses of DSATUR heuristics.
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Modelling and?Solving a?Scheduling Problem with?Hazardous Products Dynamic Evolutionation Dynamics. We present a mathematical formulation and introduce an Iterated Local Search metaheuristic. We fine-tune the metaheuristic parameters using a machine learning package and conduct several numerical experiments to assess performance and gain insights into this innovative application.
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發(fā)表于 2025-3-23 08:54:32 | 只看該作者
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