Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Number of items: 4.

Article

Cui, Hao and Turan, Osman and Sayer, Philip (2012) Learning-based ship design optimization approach. Computer-Aided Design, 44 (3). 186–195. ISSN 0010-4485

Cui, Hao and Turan, O. (2010) Application of a new multi-agent Hybrid Co-evolution based Particle Swarm Optimisation methodology in ship design. Computer-Aided Design, 42 (11). 1013–1027.

Book Section

Turan, Osman and Cui, Hao; Chiong, Raymond and Weise, Thomas and Michalewicz, Zbigniew, eds. (2011) A reinforcement learning based hybrid evolutionary algorithm for ship stability design. In: Variants of Evolutionary Algorithms for Real-World Applications. Springer Berlin Heidelberg, Berlin, pp. 281-303. ISBN 9783642234231

Conference or Workshop Item

Cui, H. and Banks, C. and Lazakis, I. and Turan, O. and Incecik, A. (2011) Self-learning based ship onboard decision support system. In: LCS 2011: International Conference on Technological and Operational Advances for Low Carbon Shipping, 2011-06-22 - 2011-06-24.

This list was generated on Mon Jul 13 00:53:04 2020 BST.