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: 3.

Yurtseven, M. A. and Boulougouris, E. and Turan, O.; Kujala, Pentti and Lu, Liangliang, eds. (2018) Container ship stowage plan using steepest ascent hill climbing, genetic, and simulated annealing algorithms. In: Marine Design XIII. CRC Press, FIN, pp. 617-623. ISBN 9781138541870

Yurtseven, Mehmet Ali and Boulougouris, Evangelos and Turan, Osman; Kujala, Pentti and Lu, Liangliang, eds. (2018) Container vessel stowage plan using genetic, hill-climbing and simulated annealing algorithms. In: Marine Design XIII. CRC Press, FIN. ISBN 9781138541870

Yurtseven, M.A. and Boulougouris, E. and Turan, O. and Papadopoulos, N.; Soares, Carlos Guedes and Teixeira, Ângelo P., eds. (2017) Optimization of container stowage using simulated annealing and genetic algorithms. In: Maritime Transportation and Harvesting of Sea Resources. CRC/Taylor & Francis Group, PRT, pp. 881-886. ISBN 9780815379935

This list was generated on Sat Jul 4 20:40:29 2020 BST.