Abstract
Using a directed mutation can improve the efficiency of processing many optimization problems. The first mutation operators of this kind proposed by Hildebrand [1], however, suffer from the asymmetry parameter influencing the mutation step size. Extreme asymmetry can lead to infinite step size. The operator presented here overcomes this drawback and preserves the step size.
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References
Hildebrand, L.: Asymmetrische Evolutionsstrategien. PhD thesis, Department of Computer Science, Universität Dortmund (2002)
Schwefel, H.-P.: Evolution and Optimum Seeking. John Wiley & Sons, New York (1994)
Berlik, S.: A Polymorphic Mutation Operator for Evolution Strategies. In: Proc. of the 3rd Int. Conf. In: Fuzzy Logic and Technology, EUSFLAT 2003, Zittau, Germany (2003)
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© 2004 Springer-Verlag Berlin Heidelberg
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Berlik, S. (2004). A Step Size Preserving Directed Mutation Operator. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24854-5_79
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DOI: https://doi.org/10.1007/978-3-540-24854-5_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22344-3
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