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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Group by: Publication Date | Item type | No Grouping
Jump to: 2014 | 2013
Number of items: 8.

2014

Alicino, Simone and Vasile, Massimiliano (2014) Evidence-based preliminary design of spacecraft. In: 6th International Conference on Systems & Concurrent Engineering for Space Applications. SECESA 2014, 2014-10-08 - 2014-10-10, Stuttgart.

Alicino, Simone and Vasile, Massimiliano (2014) Evidence-based preliminary design of spacecraft. In: 6th International Conference on Systems & Concurrent Engineering for Space Applications. SECESA 2014, 2014-10-08 - 2014-10-10.

Vasile, Massimiliano and Alicino, Simone (2014) An approach for the robust design of the power systems of small satellites. In: 65th International Astronautical Congress (IAC 2014), 2014-09-29 - 2014-10-03, Toronto. (Unpublished)

Vasile, Massimiliano and Alicino, Simone (2014) An approach for the robust design of the power systems of small satellites. In: 65th International Astronautical Congress (IAC 2014), 2014-09-29 - 2014-10-03, Metro Toronto Convention Centre.

Alicino, Simone and Vasile, Massimiliano (2014) Analysis of two algorithms for multi-objective min-max optimization. In: Bio-inspired Optimization Methods and their Applications, BIOMA 14, 2014-09-13 - 2014-09-13.

Alicino, Simone and Vasile, Massimiliano; (2014) An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization. In: Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc., GBR, pp. 1179-1186. ISBN 9781479914883

Alicino, Simone and Vasile, Massimiliano; (2014) An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimization. In: Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc., pp. 1179-1186. ISBN 9781479914883

2013

Alicino, Simone and Vasile, Massimiliano; (2013) Surrogate-based maximization of belief function for robust design optimization. In: 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference . American Institute of Aeronautics and Astronautics, USA. ISBN 9781624102233

This list was generated on Thu Jul 2 11:00:30 2020 BST.