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The use of explicit building blocks in evolutionary computation

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  • Chalermsub Sangkavichitr
  • Prabhas Chongstitvatana

Abstract

This paper proposes a new algorithm to identify and compose building blocks. Building blocks are interpreted as common subsequences between good individuals. The proposed algorithm can extract building blocks from a population explicitly. Explicit building blocks are identified from shared alleles among multiple chromosomes. These building blocks are stored in an archive. They are recombined to generate offspring. The additively decomposable problems and hierarchical decomposable problems are used to validate the algorithm. The results are compared with the Bayesian optimisation algorithm, the hierarchical Bayesian optimisation algorithm, and the chi-square matrix. This proposed algorithm is simple, effective, and fast. The experimental results confirm that building block identification is an important process that guides the recombination procedure to improve the solutions. In addition, the method efficiently solves hard problems.

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  • Chalermsub Sangkavichitr & Prabhas Chongstitvatana, 2016. "The use of explicit building blocks in evolutionary computation," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(3), pages 691-706, February.
    • Handle: RePEc:taf:tsysxx:v:47:y:2016:i:3:p:691-706
    DOI: 10.1080/00207721.2014.901580
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    Cited by:

    1. Alexander V Spirov & Ekaterina M Myasnikova, 2022. "Heuristic algorithms in evolutionary computation and modular organization of biological macromolecules: Applications to in vitro evolution," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-42, January.

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