Computational Physics Group

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.

Financial 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.