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International Joint Conference on Computational Intelligence

IJCCI 2015: Computational Intelligence pp 135–154Cite as

Adjudicated GP: A Behavioural Approach to Selective Breeding

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 669))

Abstract

For some time, there has been a realisation among Genetic Programming researchers that relying on a single scalar fitness value to drive evolutionary search is no longer a satisfactory approach. Instead, efforts are being made to gain richer insights into the complexity of program behaviour. To this end, particular attention has been focused on the notion of semantic space. In this paper we propose and unified hierarchical approach which decomposes program behaviour into semantic, result and adjudicated spaces, where adjudicated space sits at the top of the behavioural hierarchy and represents an abstraction of program behaviour that focuses on the success or failure of candidate solutions in solving problem sub-components. We show that better, smaller solutions are discovered when crossover is directed in adjudicated space. We investigate the effectiveness of several possible adjudicated strategies on a variety of classification and symbolic regression problems, and show that both of our novel pillage and barter tactics significantly outperform both a standard genetic programming and an enhanced genetic programming configuration on the fourteen problems studied. The proposed method is extremely effective when incorporated into a standard Genetic Programming structure but should also complement several other semantic approaches proposed in the literature.

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Acknowledgement

We gratefully acknowledge the support of Science Foundation Ireland. Grant No. 10/IN.1/I3031.

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Authors and Affiliations

  1. Biocomputing and Developmental Systems Group, University of Limerick, Limerick, Ireland

    Jeannie M. Fitzgerald & Conor Ryan

Authors
  1. Jeannie M. Fitzgerald
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  2. Conor Ryan
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Corresponding author

Correspondence to Jeannie M. Fitzgerald .

Editor information

Editors and Affiliations

  1. Computer Architecture and Computer Technology, Universidad de Granada, Granada, Spain

    Juan Julián Merelo

  2. aSEEB-ISR-IST, Technical University of Lisbon (IST), Lisbon, Portugal

    Agostinho Rosa

  3. Facultad de Informática, University of Murcia, Murcia, Spain

    José M. Cadenas

  4. Departamento de Engenharia Informatica, University of Coimbra, Coimbra, Portugal

    António Dourado Correia

  5. Images, Signals and Intelligence Systems Laboratory, University PARIS-EST Creteil (UPEC), Créteil, France

    Kurosh Madani

  6. Campus de Gambelas, Universidade do Algarve, Faro, Portugal

    António Ruano

  7. Escola Superior de Tecnologia de Setúbal, Polytechnic Institute of Setúbal/INSTICC, Setúbal, Portugal

    Joaquim Filipe

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Fitzgerald, J.M., Ryan, C. (2017). Adjudicated GP: A Behavioural Approach to Selective Breeding. In: Merelo, J.J., et al. Computational Intelligence. IJCCI 2015. Studies in Computational Intelligence, vol 669. Springer, Cham. https://doi.org/10.1007/978-3-319-48506-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-48506-5_8

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