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Genetic Algorithms for Word Problems in Partially Commutative Groups

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Evolutionary Computation in Combinatorial Optimization (EvoCOP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4446))

Abstract

We describe an implementation of a genetic algorithm on partially commutative groups and apply it to the double coset search problem on a subclass of groups. This transforms a combinatorial group theory problem to a problem of combinatorial optimisation. We obtain a method applicable to a wide range of problems and give results which indicate good behaviour of the genetic algorithm, hinting at the presence of a new deterministic solution and a framework for further results.

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Carlos Cotta Jano van Hemert

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© 2007 Springer Berlin Heidelberg

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Craven, M.J. (2007). Genetic Algorithms for Word Problems in Partially Commutative Groups. In: Cotta, C., van Hemert, J. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2007. Lecture Notes in Computer Science, vol 4446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71615-0_5

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  • DOI: https://doi.org/10.1007/978-3-540-71615-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71614-3

  • Online ISBN: 978-3-540-71615-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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