Dr Christine Mumford

(she/her)

BSc (Hons), MSc, PhD

2021

• Heyken Soares, P. et al., 2021. Public transport network optimisation in PTV Visum using selection hyper-heuristics. Public Transport , pp.163-196. (10.1007/s12469-020-00249-7)
• Mumford, C. et al. 2021. Footfall signatures and volumes: Towards a classification of UK centres. Environment and Planning B: Urban Analytics and City Science 48 (6), pp.1495-1510. (10.1177/2399808320911412)

2020

• Kheiri, A. et al., 2020. Exact and hyper-heuristic solutions for the distribution-installation problem from the VeRoLog 2019 challenge. Networks 76 (2), pp.294-319. (10.1002/net.21962)
• Ntounis, N. et al., 2020. How safe is it to shop? Estimating the amount of space needed to safely social distance in various retail environments. Safety Science 132 104985. (10.1016/j.ssci.2020.104985)

2019

• Ahmed, L. et al. 2019. Optimising bus routes with fixed terminal nodes. Presented at: The Genetic and Evolutionary Computation Conference Prague, Czech Republic 13-17 July 2019. GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference. ACM. , pp.1102-1110. (10.1145/3321707.3321867)
• Ahmed, L. , Mumford, C. and Kheiri, A. 2019. Solving urban transit route design problem using selection hyper-heuristics. European Journal of Operational Research 274 (2), pp.545-559. (10.1016/j.ejor.2018.10.022)
• Heyken Soares, P. et al., 2019. An adaptive scaled network for public transport route optimisation. Public Transport 11 (2), pp.379-412. (10.1007/s12469-019-00208-x)
• Nesmachnow, S. et al., 2019. Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm. International Journal of Transportation Science and Technology 8 (1), pp.53-67. (10.1016/j.ijtst.2018.10.002)

2014

• Cooper, I. et al. 2014. Optimising large scale public transport network design problems using mixed-mode parallel multi-objective evolutionary algorithms. Presented at: IEEE Congress on Evolutionary Computation Beijing, China 6 - 11 July 2014. Evolutionary Computation (CEC). IEEE. , pp.2841-2848. (10.1109/CEC.2014.6900362)
• Harris, I. , Mumford, C. L. and Naim, M. M. 2014. A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling. Transportation Research Part E: Logistics and Transportation Review 66 , pp.1-22. (10.1016/j.tre.2014.01.010)
• John, M. P. , Mumford, C. L. and Lewis, R. 2014. An improved multi-objective algorithm for the urban transit routing problem. Presented at: EvoCOP 2014: 14th European Conference on Evolutionary Computation in Combinatorial Optimization Granada, Spain 23-25 April 2014. Published in: Blum, C. and Ochoa, G. eds. Evolutionary Computation in Combinatorial Optimisation: 14th European Conference, EvoCOP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Vol. 8600.Lecture Notes in Computer Science Springer. , pp.49-60. (10.1007/978-3-662-44320-0_5)
• O'Connell, J. F. and Mumford, C. L. 2014. An exact dynamic programming based method to solve optimisation problems using GPUs. Presented at: 2014 Second International Symposium on Computing and Networking (CANDAR) Shizuoka, Japan 10-12 Dec 2014. Computing and Networking (CANDAR), 2014 Second International Symposium on. IEEE. , pp.347-353. (10.1109/CANDAR.2014.27)

2013

• Mumford, C. L. 2013. New heuristic and evolutionary operators for the multi-objective urban transit routing problem. Presented at: 2013 IEEE Congress on Evolutionary Computation (CEC) Cancun, Mexico 20-23 June 2013. Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE. , pp.939-946. (10.1109/CEC.2013.6557668)

2012

• Harris, I. et al. 2012. Allocation of stores to depots: how the variability of key factors impacts on allocation. Presented at: Logistics Research Network (LRN) Annual Conference - LRN2012 Cranfield University, Bedford, UK 5-7 September 2012.
• Harris, I. et al. 2012. Restructuring road freight transport networks within supply chains. In: McKinnon, A. et al., Green Logistics: Improving the Environmental Sustainability of Logistics. Kogan Page. , pp.103-128.
• Harwood, K. G. , Mumford, C. L. and Eglese, R. 2012. Investigating the use of metaheuristics for solving single vehicle routing problems with time-varying traversal costs. Journal of the Operational Research Society , pp.n/a. (10.1057/jors.2012.17)
• Hosny, M. I. and Mumford, C. L. 2012. Constructing initial solutions for the multiple vehicle pickup and delivery problem with time windows. Journal of King Saud University - Computer and Information Sciences 24 (1), pp.59-69. (10.1016/j.jksuci.2011.10.006)
• Lewis, R. et al. 2012. A wide-ranging computational comparison of high-performance graph colouring algorithms. Computers & Operations Research 39 (9), pp.1933-1950. (10.1016/j.cor.2011.08.010)

2011

• Harris, I. , Mumford, C. L. and Naim, M. M. 2011. An evolutionary bi-objective approach to the capacitated facility location problem with cost and CO2 emissions. Presented at: Genetic and Evolutionary Computation Conference (GECCO) 2011 Dublin, Ireland 12-16 July 2011. Published in: Krasnogor, N. ed. GECCO '11 Proceedings of the 13th annual conference on Genetic and evolutionary computation. New York, NY: ACM. , pp.697-704. (10.1145/2001576.2001672)
• Harris, I. et al. 2011. Assessing the impact of cost optimization based on infrastructure modelling on CO2 emissions. International Journal of Production Economics 131 (1), pp.313-321. (10.1016/j.ijpe.2010.03.005)

2010

• Fan, L. and Mumford, C. L. 2010. A metaheuristic approach to the urban transit routing problem. Journal of Heuristics 16 (3), pp.353-372. (10.1007/s10732-008-9089-8)
• Harris, I. et al. 2010. Restructuring of logistics systems and supply chains. In: McKinnon, A. et al., Green Logistics: Improving the Environmental Sustainability of Logistics. London: Kogan Page. , pp.101-123.
• Harris, I. et al. 2010. Restructuring of logistics systems and supply chains. In: McKinnon, A. et al., GREEN LOGISTICS Improving the Environmental Sustainability of Logistics. London: Kogan Page Limited. , pp.101-123.
• Hosny, M. I. and Mumford, C. L. 2010. Solving the one-commodity pickup and delivery problem using an adaptive hybrid VNS/SA approach. Presented at: 11th International Conference Kraków, Poland 11-15 Sept 2010. Parallel problem-solving from nature PPSN X. Lecture notes in computer science Vol. 6239. Springer. , pp.189-198. (10.1007/978-3-642-15871-1_20)
• Hosny, M. I. and Mumford, C. L. 2010. The single vehicle pickup and delivery problem with time windows: Intelligent operators for heuristic and metaheuristic algorithms. Journal of Heuristics 16 (3), pp.417-439. (10.1007/s10732-008-9083-1)
• Mumford, C. L. 2010. A multiobjective framework for heavily constrained examination timetabling problems. Annals of Operations Research 180 (1), pp.3-31. (10.1007/s10479-008-0490-3)

2009

• Fan, L. , Mumford, C. L. and Evans, D. 2009. A simple multi-objective optimization algorithm for the urban transit routing problem. Presented at: Evolutionary Computation, 2009, CEC '09, IEEE Congress Trondheim, Norway 18-21 May 2009.. Proceedings of the IEEE Congress on Evolutionary Computation (CEC '09), Trondheim, Norway, 18-21 May 2009.. Institute of Electrical and Electronics Engineers. , pp.1-7. (10.1109/CEC.2009.4982923)
• Harris, I. , Mumford, C. L. and Naim, M. M. 2009. The multi-objective uncapacitated facility location problem for green logistics. Presented at: IEEE Congress on Evolutionary Computation, 2009 (CEC '09) Trondheim, Norway 18-21 May 2009. Proceedings of the IEEE Congress on Evolutionary Computation, 2009 (CEC '09). Los Alamitos, CA: IEEE. , pp.2732-2739. (10.1109/CEC.2009.4983285)
• Hosny, M. I. and Mumford, C. L. 2009. Investigating genetic algorithms for solving the multiple vehicle pickup and delivery problem with time window. Presented at: 8th Metaheuristics International conference (MIC2009) Hamburg, Germany 13-16 June 2009.
• Morgan, M. J. W. and Mumford, C. L. 2009. A weight-coded genetic algorithm for the capacitated arc routing problem. Presented at: GECCO 2009 Genetic and Evolutionary Computation Conference Montreal, Canada 8-12 July 2009. Published in: Rothlauf, F. ed. GECCO '09 Proceedings of the 11th Annual conference on Genetic and evolutionary computation, Montreal, Québec, Canada, 8-12 July, 2009. New York, NY: ACM. , pp.325-332. (10.1145/1569901.1569947)
• Mumford, C. L. 2009. Synergy in computational intelligence. In: Mumford, C. L. and Jain, L. C. eds. Computational Intelligence: Collaboration, Fusion and Emergence. Intelligent Systems Reference Library Vol. 1.Berlin: Springer. , pp.3-21. (10.1007/978-3-642-01799-5_1)

2008

• Harris, I. et al. 2008. Assessing the impact of cost optimization based on infrastructure modelling on co2 emissions. Presented at: 15th International Working Seminar on Production Economics Innsbruck, Austria 3-7 March 2008.
• Mumford, C. L. 2008. An order based memetic evolutionary algorithm for set partitioning problems. Studies in Computational Intelligence 115 , pp.881-925. (10.1007/978-3-540-78293-3_21)

2007

• Harris, I. , Naim, M. M. and Mumford, C. L. 2007. A review of infrastructure modelling for Green Logistics. Presented at: Logistics Research Network Annual Conference 2007 Kingston upon Hull, UK 5-7 September 2007.
• Hosny, M. I. and Mumford, C. L. 2007. Single vehicle pickup and delivery with time windows. Presented at: GECCO 2007 London, UK 2007. Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation. New York, NY: ACM. , pp.2489-2496. (10.1145/1274000.1274015)
• Mumford, C. L. 2007. An order based evolutionary approach to dual objective examination timetabling. Presented at: SCIS '07: IEEE Symposium on Computational Intelligence in Scheduling, 2007 Honolulu, HI, USA 1-5 April 2007. 2007 IEEE Symposium on Computational Intelligence in Scheduling. IEEE. , pp.179-186. (10.1109/SCIS.2007.367687)

2006

• Mumford, C. L. 2006. New order-based crossovers for the graph coloring problem. Presented at: 9th International Conference on Parallel Problem Solving from Nature Reykjavik, Iceland 9-13 September 2006. Parallel Problem-Solving From Nature - PPSN IX. Lecture Notes in Computer Science Vol. 4193. Berlin: Springer Verlag. , pp.880-889. (10.1007/11844297_89)
• Rosin, P. L. and Mumford, C. L. 2006. A symmetric convexity measure. Computer Vision and Image Understanding 103 (2), pp.101-111. (10.1016/j.cviu.2006.04.002)

2005

• Colombo, G. and Mumford, C. L. 2005. Comparing algorithms, representations and operators for the multi-objective knapsack problem. Presented at: 2005 IEEE Congress on Evolutionary Computation Edinburgh, UK 2-5 September 2005. The 2005 IEEE Congress on Evolutionary Computation. Vol. 2.IEEE. , pp.1268-1275. (10.1109/CEC.2005.1554836)
• Morgan, M. J. W. and Mumford, C. L. 2005. Capacitated Vehicle Routing: Perturbing the Landscape to Fool an Algorithm. Presented at: IEEE Congress on Evolutionary Computation (CEC2005) Volume 3, pp.2271-2277. (10.1109/CEC.2005.1554977)
• Mumford, C. L. 2005. A hierarchical solve-and-merge framework for multi-objective optimization. Presented at: 2005 IEEE Congress on Evolutionary Computation Edinburgh, UK 2-5 September 2005. Published in: Mumford, C. L. ed. The 2005 IEEE congress on evolutionary computation. Vol. 3.IEEE. , pp.2241-2247. (10.1109/CEC.2005.1554973)
• Mumford, C. L. 2005. A simple approach to evolutionary multiobjective optimization. In: Abraham, A. , Jain, L. and Goldberg, R. eds. Evolutionary Multiobjective Optimization:Theoretical Advances and Applications. Advanced Information and Knowledge Processing Springer-Verlag. , pp.55-79. (10.1007/1-84628-137-7_4)

2004

• Dorband, J. E. , Mumford, C. L. and Wang, P. Y. 2004. Developing an ace solution for two-dimensional strip packing. Presented at: 18th International Parallel and Distributed Processing Symposium 26-30 April 2004. Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International. IEEE. , pp.261-269. (10.1109/IPDPS.2004.1303331)
• Mumford, C. L. 2004. A hierarchical evolutionary approach to multi-objective optimization. Presented at: CEC2004: Congress on Evolutionary Computation 2004 Portland, OR, USA 19-23 June 2004. CEC2004: Proceedings of the 2004 Congress on Evolutionary Computation. Vol. 2.Piscataway, NJ: IEEE. , pp.1944-1951. (10.1109/CEC.2004.1331134)
• Mumford, C. L. 2004. Simple population replacement strategies for a steady-state multi-objective evolutionary algorithm. Presented at: Genetic and Evolutionary Computation Conference (GECCO) 2004 Seattle, WA, USA 26-30 June 2004. Published in: Deb, K. ed. Genetic and Evolutionary Computation – GECCO 2004. Lecture Notes in Computer Science Vol. 3102. Springer. , pp.1389-1400. (10.1007/978-3-540-24854-5_132)
• Mumford, C. L. , Vick, J. and Wang, P. Y. 2004. Heuristics for large strip packing problems with guillotine patterns: An empirical study. Metaheuristics: Computer Decision-making 86 , pp.501-522.
• Rosin, P. l. and Mumford, C. L. 2004. A symmetric convexity measure. Presented at: 17th International Conference on Pattern Recognition (ICPR 2004) Cambridge, UK 23-26 August 2004. Published in: Kittler, J. , Petrou, M. and Nixon, M. eds. Proceedings of the 17th International Conference on Pattern Recognition. Vol. 4.Piscataway, NJ: IEEE. , pp.11-14. (10.1109/ICPR.2004.1333693)

2003

• Mumford, C. L. 2003. Comparing representations and recombination operators for the multi-objective 0/1 knapsack problem. Presented at: 2003 Congress on Evolutionary Computation (CEC '03) 8-12 December 2003. The 2003 Congress on evolutionary computation 2003. CEC '03. Vol. 2.IEEE. , pp.854-861. (10.1109/CEC.2003.1299756)

2002

• Mumford, C. L. and Wang, P. 2002. VLSI Placement and Area Optimization Using a Genetic Algorithm to Breed Normalized Postfix Expressions. IEEE Transactions on Evolutionary Computation 6 (4), pp.390-401. (10.1109/TEVC.2002.802872)
• Valenzuela, C. L. 2002. A simple evolutionary algorithm for multi-objective optimization (SEAMO). Presented at: 2002 Congress on Evolutionary Computation Honolulu, HI, USA 12-17 May 2002. Proceedings of the 2002 Congress on Evolutionary Computation. IEEE. , pp.717-722. (10.1109/CEC.2002.1007014)

2001

• Mumford, C. L. 2001. A study of permutation operators for minimum span frequency assignment using an order based representation. Journal of Heuristics 7 (1), pp.5-21.
• Mumford, C. L. and Wang, P. 2001. Data Set Generation for Rectangular Placement Problems. European Journal of Operational Research 134 (2), pp.378-391. (10.1016/S0377-2217(00)00263-0)

2000

• Mumford, C. L. and Wang, P. Y. 2000. A Genetic Algorithm for VLSI floorplanning. Presented at: Parallel Problem Solving from Nature PPSN VI: 6th International Conference Paris, France 18–20 September 2000. Published in: Schoenauer, M. et al., Parallel Problem Solving from Nature PPSN VI: 6th International Conference Paris, France, September 18–20, 2000: Proceedings. Lecture notes in computer science Vol. 1917. Springer. , pp.671-680. (10.1007/3-540-45356-3_66)

1999

• Mumford, C. L. 1999. Evolutionary divide and conquer (II) for the TSP. Presented at: GECCO-99 Orlando, FL, USA 13-17 July 1999. Published in: Banzhaf, W. et al., GECCO-99: Proceedings of the genetic and evolutionary computation conference. Orlando, FL.: Morgan Kauffman. , pp.1744-1749.

1998

• Mumford, C. L. , Hurley, S. and Smith, D. 1998. A permutation based Genetic Algorithm for minimum span frequency assignment. Presented at: PPSN V: 5th International Conference Amsterdam, The Netherlands 27-30 September 1998. Published in: Eiben, A. E. et al., Parallel Problem Solving from Nature — PPSN V: 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998: Proceedings. Lecture notes in computer science Vol. 1498. Springer. , pp.907-916. (10.1007/BFb0056932)

1997

• Mumford, C. L. and Jones, A. J. 1997. Estimating the Held-Karp lower bound for the geometric TSP. European Journal of Operational Research 102 (1), pp.157-175. (10.1016/S0377-2217(96)00214-7)

1995

• Gilbert, A. H. , Bell, F. and Mumford, C. L. 1995. Adaptive learning of process control and profit optimization using a classifier system. Evolutionary Computation 3 (2), pp.177-198.

1993

• Mumford, C. L. and Jones, A. J. 1993. Evolutionary divide and conquer (I): A novel genetic approach to the TSP. Evolutionary Computation 1 (4), pp.313-333.