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Title of Journal: Soft Comput

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Abbravation: Soft Computing

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Springer-Verlag

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10.1002/hlca.200590048

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1433-7479

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MultiObjective Optimization using Grid Computing

Authors: Antonio J Nebro Enrique Alba Francisco Luna
Publish Date: 2006/05/03
Volume: 11, Issue: 6, Pages: 531-540
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Abstract

This paper analyzes some technical and practical issues concerning the use of parallel systems to solve multiobjective optimization problems using enumerative search This technique constitutes a conceptually simple search strategy and it is based on evaluating each possible solution from a given finite search space The results obtained by enumeration are impractical for most computer platforms and researchers but they exhibit a great interest because they can be used to be compared against the values obtained by stochastic techniques We analyze here the use of a grid computing system to cope with the limits of enumerative search After evaluating the performance of the sequential algorithm we present first a parallel algorithm targeted to multiprocessor systems Then we design a distributed version prepared to be executed on a federation of geographically distributed computers known as a computational grid Our conclusion is that this kind of systems can provide to the community with a large and precise set of Pareto fronts that would be otherwise unknown

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