Design of Evolutionary Algorithms and Applications in Surface Reconstruction
Beielstein, Th.1; Mehnen, J.2, a; Schönemann, L.; Schwefel, H.-P.; Surmann, T.2, b; Weinert, K.2, c; Wiesmann, D.
- 1)
- Lehrstuhl Informatik VII, Universität Dortmund, Otto-Hahn-Str. 16, 44227 Dortmund
- 2)
- Institut für Spanende Fertigung, Universität Dortmund, Baroper Str. 301, 44227 Dortmund
a) mehnen@isf.de; b) surmann@isf.de; c) weinert@isf.de
Kurzfassung
Evolutionary algorithms are a class of direct search methods. They can be used whenever classical optimization methods do not yield satisfactory results. In the following we discuss the design of problem specific evolutionary algorithms. We present a technique for the systematic integration of domain-knowledge. Surface reconstruction by means of evolutionary algorithms serves as a practical example. For this problem the integration of domain knowledge is essential for a successful application of evolutionary algorithms.
Schlüsselwörter
evolutionary algorithms, integration of domain-knowledge
Veröffentlichung
In: Advances in Computational Intelligence, Theory and Practice. Natural Computing Series, Springer Verlag, Berlin, 2003, ISBN 3-540-43269-8, S. 145-193