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Multi-objective particle swarm optimisation: methods and applications. (2014)
Thesis
AL MOUBAYED, N. 2014. Multi-objective particle swarm optimisation: methods and applications. Robert Gordon University, PhD thesis.

Solving real life optimisation problems is a challenging engineering venture. Since the early days of research on optimisation it was realised that many problems do not simply have one optimisation objective. This led to the development of multi-obje... Read More about Multi-objective particle swarm optimisation: methods and applications..

Probabilistic modelling of oil rig drilling operations for business decision support: a real world application of Bayesian networks and computational intelligence. (2013)
Thesis
FOURNIER, F.A. 2013. Probabilistic modelling of oil rig drilling operations for business decision support: a real world application of Bayesian networks and computational intelligence. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

This work investigates the use of evolved Bayesian networks learning algorithms based on computational intelligence meta-heuristic algorithms. These algorithms are applied to a new domain provided by the exclusive data, available to this project from... Read More about Probabilistic modelling of oil rig drilling operations for business decision support: a real world application of Bayesian networks and computational intelligence..

An application of genetic algorithms to chemotherapy treatment. (1998)
Thesis
PETROVSKI, A. 1998. An application of genetic algorithms to chemotherapy treatment. Robert Gordon University, PhD thesis.

The present work investigates methods for optimising cancer chemotherapy within the bounds of clinical acceptability and making this optimisation easily accessible to oncologists. Clinical oncologists wish to be able to improve existing treatment reg... Read More about An application of genetic algorithms to chemotherapy treatment..