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.
Original language | English |
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Title of host publication | GECCO '08 |
Subtitle of host publication | proceedings of the 10th annual conference on Genetic and evolutionary computation |
Editors | Maarten Keijzer |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 465-466 |
Number of pages | 2 |
ISBN (Print) | 9781605581309 |
DOIs | |
Publication status | Published - 2008 |
Event | Genetic and Evolutionary Computation Conference 2008 - Atlanta, Georgia, United States Duration: 12 Jul 2008 → 16 Jul 2008 http://www.sigevo.org/gecco-2008/ |
Conference
Conference | Genetic and Evolutionary Computation Conference 2008 |
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Abbreviated title | GECCO 2008 |
Country/Territory | United States |
City | Atlanta, Georgia |
Period | 12/07/08 → 16/07/08 |
Internet address |