Research output

Conference Paper (in Formal Publication) ()

Optimisation and Fitness Modelling of Bio-control in Mushroom Farming Using a Markov Network EDA

Citation
Brownlee A, Wu Y, McCall J, Godley PM, Cairns D & Cowie J (2008) Optimisation and Fitness Modelling of Bio-control in Mushroom Farming Using a Markov Network EDA In: Keijzer Maarten (ed.) Proceedings of the 10th annual conference on Genetic and evolutionary computation, (GECCO-2008), New York: Association for Computing Machinery (ACM). Genetic and Evolutionary Computation Conference, GECCO-2008, 12.7.2008 - 16.7.2008, Atlanta, Georgia, pp. 465-466.

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.

Keywords
Optimisation; EDA; Optimal Control

Subject headings
Genetics Mathematical models; Genetics Computer simulation; Control theory

StatusPublished
EditorKeijzer Maarten
AuthorsBrownlee Alexander, Wu Yanghui, McCall John, Godley Paul Michael, Cairns David, Cowie Julie
Publication date2008
PublisherAssociation for Computing Machinery (ACM)
Place of publicationNew York
ISBN 978-1-60558-130-9
LanguageEnglish
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