Computational Physics GroupKarel Matous |
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Applying genetic algorithms to selected topics commonly encountered in engineering practiceK. Matous, M. Leps, J. Zeman and M. Sejnoha CTU, Fac. of Civil Eng., Dep. of Structural Mechanics Thákurova, 166 29 Prague 6
AbstractA 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 learned up to
date are effectively combined to show the power of the
genetic algorithm in effective search for the desired
solution over a broad class of optimization problems
discussed herein.
AcknowledgmentFinancial
support was provided by the GACR 103/97/1255 and GACR
103/97/P040 grants, by the research project
J04/98:210000003, and by the IG CVUT 3099K1322.
© 2009 Notre Dame and Dr. Karel Matous |