Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
1997-11-04
T. Baeck (Ed.) (1997) Proceedings of the Seventh International Conference on Genetic Algorithms (ICGA'97), Morgan Kauffman, 73
Nonlinear Sciences
Adaptation and Self-Organizing Systems
8 pages, LaTeX, 10 eps-figures, (proceedings style, psfig, chicago, graphicx package), postscript also avaliable via http://
Scientific paper
The appropriate choice of the genotype-phenotype mapping in combination with the mutation operator is important for a successful evolutionary search process. We suggest a measure to quantify the quality of this combination by addressing the question whether the relation among distances is carried over from one space to the other. Search processes which do not destroy the neighbourhood structure are termed strongly causal. We apply the proposed measure to parameter and structure optimisation problems in order to assess the combination (mapping, mutation operator) and at the same time to be able to propose improved settings.
Kreutz Martin
Seelen Werner von
Sendhoff Bernhard
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