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Title of Journal: Soft Computing

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Abbravation: Soft Computing

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Springer-Verlag

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DOI

10.1002/chin.198812320

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1433-7479

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Comparison of methods for developing dynamic reduc

Authors: K Rasheed X Ni S Vattam
Publish Date: 2003/10/13
Volume: 9, Issue: 1, Pages: 29-37
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Abstract

In this paper we compare three methods for forming reduced models to speed up geneticalgorithmbased optimization The methods work by forming functional approximations of the fitness function which are used to speed up the GA optimization by making the genetic operators more informed Empirical results in several engineering design domains are presented

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