Applying genetic algorithms to selected topics commonly
encountered in engineering practice
by
K. Matous, M. Leps, J. Zeman and M. Sejnoha
Abstract
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 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.
Last modified: Nov 4 2000