Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda

Alexander Brownlee, Yanghui Wu, John McCall, Paul Godley, David Cairns, Julie Cowie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We explore the application of an Estimation of Distribution Algorithm which uses a Markov Network to the problem of bio-control in mushroom farming. This falls into the category of “bang-bang control” problems and was previously used as an application for genetic algorithms with modified crossover operators. The EDA yields a small improvement in the solutions that are evolved. Moreover, the probabilistic models constructed closely match identifiable features in the underlying dynamics of the problem. We conclude that this is a useful by-product of the probabilistic modelling which can be further exploited. probabilistic model learned by DEUM. We will describe how a clear relationship can be drawn between probabilistic model and the underlying shape of the problem.
Original languageEnglish
Title of host publicationProceedings of the 10th annual conference on Genetic and evolutionary computation
EditorsMaarten Keijizer
Place of PublicationNew York
PublisherACM
Pages465-466
Number of pages2
ISBN (Print)9781605581316
DOIs
Publication statusPublished - 30 Nov 2007

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Keywords

  • Optimisation
  • EDA
  • Optimal Control
  • Genetics Mathematical models
  • Genetics Computer simulation
  • Control theory

Cite this

Brownlee, A., Wu, Y., McCall, J., Godley, P., Cairns, D., & Cowie, J. (2007). Optimisation and fitness modelling of bio-control in mushroom farming using a Markov network eda. In M. Keijizer (Ed.), Proceedings of the 10th annual conference on Genetic and evolutionary computation (pp. 465-466). ACM. https://doi.org/10.1145/1389095.1389180