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Applying genetic algorithms to selected topics commonly encountered in engineering practice

✍ Scribed by K. Matouš; M. Lepš; J. Zeman; M. Šejnoha

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
821 KB
Volume
190
Category
Article
ISSN
0045-7825

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✦ Synopsis

A carefully selected group of optimization problems is addressed to advocate application of genetic algorithms in various engineering optimization domains. Each topic introduced in the present paper serves as a representative of a larger class of interesting problems that arise frequently in many applications such as design tasks, functional optimization associated with various variational formulations, or a number of problems linked to image evaluation. No particular preferences are given to any version of genetic algorithms, but rather lessons learnt up-to-date are eectively combined to show the power of the genetic algorithm in eective search for the desired solution over a broad class of optimization problems discussed herein.

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