DRAFT
发表于 2025-3-25 05:31:20
A Re-characterization of Hyper-Heuristics,ality. We argue that this prevailing conception of domain barrier is so limiting as to defeat the original motivation for hyper-heuristics. We show how it is possible to make use of domain knowledge without loss of generality and describe generalized hyper-heuristics which can incorporate arbitrary domain knowledge.
种子
发表于 2025-3-25 11:32:51
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opinionated
发表于 2025-3-25 13:06:44
Sampling-Based Genetic Algorithms for the Bi-Objective Stochastic Covering Tour Problem,rk for a humanitarian logistics application with data from Senegal. Comparisons to alternative solution techniques, in particular also to the exact solution of the deterministic counterpart problem based on a fixed sample, show the superiority of our approach.
installment
发表于 2025-3-25 18:46:38
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MAPLE
发表于 2025-3-25 20:46:27
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聪明
发表于 2025-3-26 01:03:44
On the Impact of Representation and Algorithm Selection for Optimisation in Process Design: Motivatormulation are available. Two different heuristic optimisation procedures are considered. The results demonstrate that any given combination will not lead to the best outcome across a range of case studies. This motivates the need for a multi-algorithm, multi-representation approach to optimisation, at least for process design.
祖传财产
发表于 2025-3-26 07:18:21
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Cleave
发表于 2025-3-26 12:33:33
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obviate
发表于 2025-3-26 13:44:59
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Cubicle
发表于 2025-3-26 17:03:13
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