Titlebook: Evolutionary Computation in Combinatorial Optimization; 9th European Confere Carlos Cotta,Peter Cowling Conference proceedings 2009 Springe

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黄瓜

STYX

Irene Fiechtner-Stotz,Maren Brackernential time. This result is both proven theoretically and illustrated by experimental data. The classification of functions into easy and hard problem instances allows a deep insight into the problem solving power of the Metropolis algorithm and can be used in the process of selecting an optimization algorithm for a concrete problem instance.

乐章

A Critical Element-Guided Perturbation Strategy for Iterated Local Search,f critical elements and then focusing on these critical elements within the perturbation operator. Computational experiments on two case studies—graph coloring and course timetabling—give evidence that this critical element-guided perturbation strategy helps reinforce the performance of Iterated Local Search.

Tempor

An ACO Approach to Planning,rd computational problem, metaheuristics are suitable to find good solutions in a reasonable computation time. Preliminary experiments are very encouraging, because ACOPlan sometimes finds better solutions than state of art planning systems. Moreover, this algorithm seems to be easily extensible to other planning models.

天赋

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新奇

Iterated Local Search for Minimum Power Symmetric Connectivity in Wireless Networks, up to 1000 nodes, and results are compared to optimal or best known results as well as other heuristics. For these instances, the proposed algorithm is able to find optimal and near-optimal solutions and outperforms previous heuristics.

包裹

Metropolis and Symmetric Functions: A Swan Song,nential time. This result is both proven theoretically and illustrated by experimental data. The classification of functions into easy and hard problem instances allows a deep insight into the problem solving power of the Metropolis algorithm and can be used in the process of selecting an optimization algorithm for a concrete problem instance.

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Conference proceedings 2009held in Tübingen, Germany, in April 2009. The 21 revised full papers presented were carefully reviewed and selected from 53 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatoria