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Maik Buttelmann, Boris Lohmann

Optimization with Genetic Algorithms and an Application for Model Reduction

This paper gives an overview of Genetic Algorithms. If some preconditions are fulfilled, Genetic Algorithms can be used to solve complex optimisation problems with a huge number of possible solutions. With the help of a fitness function and the genetic operators selection, recombination, and mutation better and better solutions can be generated to find the best one. The basics of Genetic Algorithms are discussed and an example is given.

at – Automatisierungstechnik, Oldenbourg Wissenschaftsverlag

Print ISSN: 0178-2312
Volume: 52, 04/2004
Pages: 151 - 164

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