Hierarchical Crossover in Genetic Algorithms

Bentley, Peter J. and Wakefield, Jonathan P. (1996) Hierarchical Crossover in Genetic Algorithms. In: Proceedings of the 1st On-line Workshop on Soft Computing (WSC1), 19-30 August 1996, Nagoya University, Japan.

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Abstract

This paper identifies the limitations of conventional crossover in genetic algorithms when operating on two chromosomes of differing lengths. To address these problems, the concept of a Semantic Hierarchy (i.e. tree of meaning) of a genotype within a genetic algorithm is introduced. With this in mind, a new form of crossover operator known as Hierarchical Crossover is presented, capable of performing crossover with genotypes of different sizes, while still being functionally equivalent to standard, single-point crossover (or uniform
crossover). Various aspects and advantages of this method are discussed. Finally, an example of some results produced by an implementation is shown.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	hierarchical crossover, semantic hierarchy, variable-length chromosome, genetic algorithm, evolutionary design
Subjects:	T Technology > T Technology (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TA Engineering (General). Civil engineering (General)
Schools:	School of Computing and Engineering School of Computing and Engineering > Pedagogical Research Group School of Computing and Engineering > Music Technology and Production Research Group
Related URLs:	Author Conference
Depositing User:	Jonathan Wakefield
Date Deposited:	24 Apr 2009 08:21
Last Modified:	29 Mar 2018 14:16
URI:	http://eprints.hud.ac.uk/id/eprint/3973

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