Abstract
By introducing a variable coding technique, a parallel optimization method based on a combination of GAs and ESs is presented. The advantages of both GAs and ESs, like coding of genetic information and adaptation of optimization parameters, are enhanced by this new method.
References
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[2] K.A. Dejong. Analysis of the Behaviour of a Class of Genetic Adaptive Systems. Ph. D. Thesis, University of Michigan, Ann Arbor, MI. 1975
[3] F. Hoffmeister, T. Baeck. Genetic Algorithms and Evolution Strategies: Similarities and Differences. Technical Report No. SYS-1/ 92, University of Dortmund, 1992.
[4] J. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, Mich., 1975.
[5] U. Kirsch. Structural Optimization - Fundamentals and Applications. Springer-Verlag, Berlin, 1993.
