Outputs (2)

Application of evolutionary algorithms to learning evolved Bayesian Network models of rig operations in the Gulf of Mexico (2010)
Presentation / Conference Contribution
Fournier, F. A., Wu, Y., McCall, J., Petrovski, A., & Barclay, P. J. (2010, September). Application of evolutionary algorithms to learning evolved Bayesian Network models of rig operations in the Gulf of Mexico. Presented at 2010 UK Workshop on Computational Intelligence (UKCI), Colchester, UK

The operation of drilling rigs is highly expensive. It is therefore important to be able to identify and analyse variables affecting rig operations. We investigate the use of Genetic Algorithms and Ant Colony Optimisation to induce a Bayesian Network... Read More about Application of evolutionary algorithms to learning evolved Bayesian Network models of rig operations in the Gulf of Mexico.

Evolved Bayesian Network models of rig operations in the Gulf of Mexico (2010)
Presentation / Conference Contribution
Fournier, F. A., McCall, J., Petrovski, A., & Barclay, P. J. (2010). Evolved Bayesian Network models of rig operations in the Gulf of Mexico. In IEEE Congress on Evolutionary Computation. https://doi.org/10.1109/cec.2010.5586021

The operation of drilling rigs is highly expensive. It is therefore important to be able to identify and analyse factors affecting rig operations. We investigate the use of two Genetic Algorithms, K2GA and ChainGA, to induce a Bayesian Network model... Read More about Evolved Bayesian Network models of rig operations in the Gulf of Mexico.