ADORN 发表于 2025-3-28 18:00:00

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现晕光 发表于 2025-3-28 21:47:53

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东西 发表于 2025-3-29 00:48:12

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索赔 发表于 2025-3-29 05:56:24

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散步 发表于 2025-3-29 10:46:34

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津贴 发表于 2025-3-29 14:56:34

Adaptive Operator Selection for Iterated Local Searchn optimizing a blind, single-constraint knapsack problem. The resulting adaptive ILS achieves almost the same performance as the ILS with the best perturbation step size but without the need to determine the optimal parameter setting.

chisel 发表于 2025-3-29 18:35:50

0302-9743 , business adm- istration, engineering, biology, and various other disciplines. To a large extent, their success is due to their conceptual simplicity, broad applicability and high performance for many important problems studied in academia and enco- tered in real-world applications. SLS methods inc

光亮 发表于 2025-3-29 23:15:07

Building an Urban Energy Center,ested. The consequent measure of exploration is applied to MAX–MIN Ant System: The impact of the values of the parameters on the exploration is assessed. The conclusions drawn are put in relation with the indications provided by the average .-branching factor.

追踪 发表于 2025-3-30 01:36:55

What Is the Problem? Men and Joulesor MAP that is a combination of a genetic algorithm with a local search procedure. The main contribution of the paper is an idea of dynamically adjusted generation size, that yields an outstanding flexibility of the algorithm to perform well for both small and large fixed running times.

Grasping 发表于 2025-3-30 04:43:44

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查看完整版本: Titlebook: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heur; International Worksh Thomas Stützle,M