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 language | English |
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Title of host publication | Proceedings of the 10th annual conference on Genetic and evolutionary computation |
Editors | Maarten Keijizer |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Pages | 465-466 |
Number of pages | 2 |
ISBN (Print) | 9781605581316 |
DOIs | |
Publication status | Published - 30 Nov 2007 |
Keywords
- Optimisation
- EDA
- Optimal Control
- Genetics Mathematical models
- Genetics Computer simulation
- Control theory
ASJC Scopus subject areas
- Genetics