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.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2008
Number of items: 10.

2019

Arulselvan, Ashwin and Bley, Andreas and Ljubić, Ivana (2019) The incremental connected facility location problem. Computers & Operations Research. ISSN 0305-0548 (In Press)

2017

Rahimian, Erfan and Akartunali, Kerem and Levine, John (2017) A hybrid integer and constraint programming approach to solve nurse rostering problems. Computers & Operations Research, 82. pp. 83-94. ISSN 0305-0548

2016

Bal Besikci, E. and Arslan, O. and Turan, O. and Ölçer, A.I. (2016) An artificial neural network based decision support system for energy efficient ship operations. Computers & Operations Research, 66. pp. 393-401. ISSN 0305-0548

Lin, M.Y. and Chin, K.S. and Tsui, K.L. and Wong, T.C. (2016) Genetic based discrete particle swarm optimization for elderly day care center timetabling. Computers & Operations Research, 65. pp. 125-138. ISSN 0305-0548

2015

Akartunali, Kerem and Mak-Hau, Vicky and Tran, Thu (2015) A unified mixed-integer programming model for simultaneous fluence weight and aperture optimization in VMAT, Tomotherapy, and Cyberknife. Computers & Operations Research, 56. pp. 134-150. ISSN 0305-0548

2014

Wong, T. C. and Xu, M. and Chin, K. S. (2014) A two-stage heuristic approach for nurse scheduling problem : a case study in an emergency department. Computers & Operations Research, 51. pp. 99-110. ISSN 0305-0548

2013

Akartunali, Kerem and Boland, Natashia and Evans, Ian and Wallace, Mark and Waterer, Hamish (2013) Airline planning benchmark problems-Part I : characterising networks and demand using limited data. Computers & Operations Research, 40 (3). pp. 775-792. ISSN 0305-0548

Akartunali, Kerem and Boland, Natashia and Evans, Ian and Wallace, Mark and Waterer, Hamish (2013) Airline planning benchmark problems—Part II : passenger groups, utility and demand allocation. Computers & Operations Research, 40 (3). pp. 793-804. ISSN 0305-0548

2012

Ryan, Julie J.C.H. and Mazzuchi, Thomas A. and Ryan, Daniel J. and Lopez de la Cruz, Juliana and Cooke, Roger (2012) Quantifying information security risks using expert judgment elicitation. Computers & Operations Research, 39 (4). pp. 774-784.

2008

Olcer, A.I. (2008) A hybrid approach for multi-objective combinatorial optimisation problems in ship design and shipping. Computers & Operations Research, 35 (9). pp. 2760-2775. ISSN 0305-0548

This list was generated on Thu Jul 9 19:42:23 2020 BST.