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Titlebook: Metaheuristics; Progress in Complex Karl F. Doerner,Michel Gendreau,Marc Reimann Book 2007 Springer-Verlag US 2007 Analysis.Variable.algor

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樓主: deliberate
21#
發(fā)表于 2025-3-25 04:43:49 | 只看該作者
22#
發(fā)表于 2025-3-25 10:29:22 | 只看該作者
Reviewer Assignment for Scientific Articles using Memetic Algorithmso be reviewed by several different reviewers before being accepted for the conference. We implemented a memetic algorithm to solve that assignment problem and evaluated different model variants against their real world performance, using valuable feedback from many reviewers. While solutions generat
23#
發(fā)表于 2025-3-25 12:18:05 | 只看該作者
Grasp with Path-Relinking for the Tspcs are hybridized with a path-relinking procedure. A distance metric, previously proposed to fitness analysis landscape is utilized to decide whether to apply path-relinking between a pair of solutions. A computational experiment is reported to support conclusions about efficiency of the proposed ap
24#
發(fā)表于 2025-3-25 16:07:01 | 只看該作者
25#
發(fā)表于 2025-3-25 22:37:11 | 只看該作者
Variable Neighborhood Search for the Probabilistic Satisfiability Problemtion space consists of 0-1 variables, while the associated probabilities are found by our fast approximate variable neighborhood descent procedure combined with the Nelder-Mead nonlinear optimization method. Computational experience shows that, with our approach, problem instances with up to 200 pro
26#
發(fā)表于 2025-3-26 00:16:57 | 只看該作者
Adaptive Control of Genetic Parameters for Dynamic Combinatorial Problemsus optimization problems. In this paper, we investigate the idea on dynamic combinatorial problems..The paper uses a measure for population diversity based on distance from the population-best individual rather than distance between all possible pairs in the population. The measured diversity is use
27#
發(fā)表于 2025-3-26 06:31:29 | 只看該作者
28#
發(fā)表于 2025-3-26 10:03:43 | 只看該作者
29#
發(fā)表于 2025-3-26 13:00:02 | 只看該作者
Particle Swarm Optimization and Sequential Sampling in Noisy Environments are needed. In this paper we examine the influence of noise on particle swarm optimization and demonstrate that the resulting stagnation can not be removed by parameter optimization alone, but requires a reduction of noise through averaging over multiple samples. In order to reduce the number of re
30#
發(fā)表于 2025-3-26 20:00:24 | 只看該作者
agmatik der expliziten Selbst-Auskunftei mittels Interviews (ganz deutlich wird dies in .). Diese sogenannten ?existenzialph?nomenologischen Interviews“, erweisen sich schnell als, normale’, stark narrationsevozierende Erkundungsgespr?che. Auch die — ?an sich‘ ausgesprochen plausiblen — Anweisungen
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