Genetic algorithm solution of the TSP avoiding special crossover and mutation

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2002-01-01

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Üçoluk, Göktürk

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Ordinary representations of permutations in Genetic Algorithms (GA) is handicapped with producing offspring which are not permutations at all. The conventional solution for crossover and mutation operations of permutations is to device 'special' operators. Unfortunately these operators suffer from violating the nature of crossover. Namely, considering the gene positions on the chromosome, these methods do not allow n-point crossover techniques which are known to favour building-block formations. In this work, an inversion sequence is proposed as the representation of a permutation. This sequence allows repetitive values and hence is robust under ordinary (n-point) crossover. There is a one-to-one mapping from ordinary permutation representation to the inversion sequence representation.

Subject Keywords

Theoretical Computer Science, Computational Theory and Mathematics, Software, Artificial Intelligence

URI

https://hdl.handle.net/11511/49201

Journal

INTELLIGENT AUTOMATION AND SOFT COMPUTING

DOI

https://doi.org/10.1080/10798587.2000.10642829

Collections

Department of Computer Engineering, Article

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Citation Formats

G. Üçoluk, “Genetic algorithm solution of the TSP avoiding special crossover and mutation,” INTELLIGENT AUTOMATION AND SOFT COMPUTING, pp. 265–272, 2002, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49201.