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Titlebook: Evolutionary Computation in Combinatorial Optimization; 24th European Confer Thomas Stützle,Markus Wagner Conference proceedings 2024 The E

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发表于 2025-3-21 18:58:26 | 显示全部楼层 |阅读模式
书目名称Evolutionary Computation in Combinatorial Optimization
副标题24th European Confer
编辑Thomas Stützle,Markus Wagner
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Evolutionary Computation in Combinatorial Optimization; 24th European Confer Thomas Stützle,Markus Wagner Conference proceedings 2024 The E
描述.This book constitutes the referred proceedings of the 24th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2024, held as part of EvoStar 2024, in Aberystwyth, UK, during April 3–5, 2024...The 12 full papers presented in this book were carefully reviewed and selected from 28 submissions. They cover a variety of topics, ranging from constructive algorithms, machine learning techniques ranging from neural network based guidance to sparse surrogate models for optimization problems, the foundation of evolutionary computation algorithms and other search heuristics, to multi-objective optimization problems. .
出版日期Conference proceedings 2024
关键词Metaheuristics; Combinatorial optimization problems; Evolutionary Algorithms ; Swarm Intelligence ; Loca
版次1
doihttps://doi.org/10.1007/978-3-031-57712-3
isbn_softcover978-3-031-57711-6
isbn_ebook978-3-031-57712-3Series 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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发表于 2025-3-21 22:57:06 | 显示全部楼层
Diego de Matos Gondim,Roger Miarka MAX-SAT problems compared to results on random NK landscapes. We show that Partition Crossover induces hypercube lattices over subsets of local optima; all of the local optima which appear in a lattice can be evaluated with a single linear equation.
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Ada Katsap,Fredrick L. Silverman solvers. A phase transition parameter is then proposed. The critical parameter of phase transition satisfaction and that of the solving effort are shown to be highly correlated for tabu search, thus allowing the prediction of difficult instances.
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,Emergence of New Local Search Algorithms with Neuro-Evolution,offering the flexibility to adjust problem size and ruggedness. This approach offers a promising avenue for the emergence of new local search algorithms and the improvement of their problem-solving capabilities for black-box problems.
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Vincenzo Matera,Angela Biscaldiproach by comparing the enhanced . with the original ., using two benchmark sets from the literature. We show that the results of the enhanced . significantly improve over the original results, especially when tackling instances with non-uniformly generated input strings.
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