慢慢冲刷 发表于 2025-3-30 09:43:43
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Learning a Hidden Markov Model-Based Hyper-heuristic,ng useful mutation heuristics. Empirical evidence supports this on the ., ., . and . problems. A new approach to hyper-heuristics is proposed that addresses this problem by modeling and learning hyper-heuristics by means of a hidden Markov Model. Experiments show that this is a feasible and promisinjocular 发表于 2025-3-31 00:20:34
Comparison of Parameter Control Mechanisms in Multi-objective Differential Evolution,ent on the right choice of parameters. To mitigate this problem, mechanisms have been developed to automatically control the parameters during the algorithm run. These mechanisms are usually a part of a unified DE algorithm, which makes it difficult to compare them in isolation. In this paper, we go全等 发表于 2025-3-31 04:53:40
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Empirical Analysis of Operators for Permutation Based Problems,ors can be defined by a distance metric that define the neighborhood of the current configuration, and a selector that chooses the next configuration to be explored within this neighborhood. The performance of local search algorithms strongly depends on their ability to efficiently explore and explo百灵鸟 发表于 2025-3-31 14:42:58
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