Titlebook: Experimental and Efficient Algorithms; Third International Celso C. Ribeiro,Simone L. Martins Conference proceedings 2004 Springer-Verlag

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Experimental and Efficient Algorithms978-3-540-24838-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

GROSS

0302-9743 Overview: Includes supplementary material: 978-3-540-22067-1978-3-540-24838-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

踉跄

Tomotoshi Marumoto,Hideyuki Sayanimize their makespan, i.e., the maximum processing time over all processors. We propose a new heuristic for solving the multiprocessor scheduling problem, based on a hybrid heuristic to the bin packing problem. Computational results illustrating the effectiveness of this approach are reported and c

BIDE

Kirsten Hattermann,Rolf Mentleinees, we propose new heuristics (local search and metaheuristics) in which edge swaps are iteratively applied to a current spanning tree. Structural properties that make the heuristics efficient are established. We also present a mixed integer programming formulation of the problem whose linear relax

ADAGE

Raymond Y. Huang,Patrick Y. Wen.Several approaches for solving stochastic problems are reported in the literature. Metaheuristics seem to be a powerful tool for computing good and robust solutions. However, the efficiency of algorithms based on Local Search, such as Tabu Search, suffers from the complexity of evaluating the objec

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Recent Results in Cancer Researchhis application. The vast majority of clustering methods in literature operate by resorting to a priori assumptions about the data, such as the number of cluster or cluster radius. Clusters are forced to conform to these assumptions, which may not be valid for the considered population. The latter c

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Discrete

Astrid Weyerbrock,Josef Zentnerre efficient on several types of problems or instances. We can distinguish exact methods dedicated to solve small instances, from heuristics – and particularly metaheuristics – that approximate best solutions on large instances. In this article, we firstly present an efficient exact method, called t