Dr Christine Mumford

(she/her)

BSc (Hons), MSc, PhD

Articles

• Mumford, C., Parker, C., Ntounis, N. and Dargan, E. 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)
• Heyken Soares, P., Ahmed, L., Mao, Y. and Mumford, C. L. 2021. Public transport network optimisation in PTV Visum using selection hyper-heuristics. Public Transport, pp. 163-196. (10.1007/s12469-020-00249-7)
• Ntounis, N., Mumford, C., Loroño-Leturiondo, M., Parker, C. and Still, K. 2020. How safe is it to shop? Estimating the amount of space needed to safely social distance in various retail environments. Safety Science 132, article number: 104985. (10.1016/j.ssci.2020.104985)
• Kheiri, A., Ahmed, L., Boyacı, B., Gromicho, J., Mumford, C., Özcan, E. and Dirikoç, A. S. 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)
• Heyken Soares, P., Mumford, C. L., Amponsah, K. and Mao, Y. 2019. An adaptive scaled network for public transport route optimisation. Public Transport 11(2), pp. 379-412. (10.1007/s12469-019-00208-x)
• 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)
• Nesmachnow, S., Massobrio, R., Arreche, E., Mumford, C., Olivera, A. C., Vidal, P. J. and Tchernykh, A. 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)
• 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)
• Lewis, R., Thompson, J. M., Mumford, C. L. and Gillard, J. W. 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)
• 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)
• Harris, I., Naim, M. M., Palmer, A., Potter, A. T. and Mumford, C. L. 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)
• 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)
• 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)
• 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. 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)
• 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)
• 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.
• 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)
• 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)
• 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 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)
• 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.
• 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.

Book sections

• Harris, I., Sanchez Rodrigues, V. A., Naim, M. M. and Mumford, C. L. 2012. Restructuring road freight transport networks within supply chains. In: McKinnon, A. et al. eds. Green Logistics: Improving the Environmental Sustainability of Logistics. Kogan Page, pp. 103-128.
• Harris, I., Naim, M. M., Sanchez Rodriguez, V. and Mumford, C. L. 2010. Restructuring of logistics systems and supply chains. In: McKinnon, A. et al. eds. Green Logistics: Improving the Environmental Sustainability of Logistics. London: Kogan Page, pp. 101-123.
• Harris, I., Sanchez Rodrigues, V., Naim, M. and Mumford, C. 2010. Restructuring of logistics systems and supply chains. In: McKinnon, A. et al. eds. GREEN LOGISTICS Improving the Environmental Sustainability of Logistics. London: Kogan Page Limited, pp. 101-123.
• 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)
• 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)

Conferences

• Ahmed, L., Heyken-Soares, P., Mumford, C. and Mao, Y. 2019. Optimising bus routes with fixed terminal nodes. Presented at: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13-17 July 2019GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference. ACM pp. 1102-1110., (10.1145/3321707.3321867)
• Cooper, I., John, M. P., Lewis, R., Mumford, C. L. and Olden, A. 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 2014Evolutionary Computation (CEC). IEEE pp. 2841-2848., (10.1109/CEC.2014.6900362)
• 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 2014Computing and Networking (CANDAR), 2014 Second International Symposium on. IEEE pp. 347-353., (10.1109/CANDAR.2014.27)
• 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 Presented at 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)
• 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 2013Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE pp. 939-946., (10.1109/CEC.2013.6557668)
• Harris, I., Mumford, C. L., Helsby, D. and Naim, M. M. 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., 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 Presented at 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)
• 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 2010Parallel 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)
• 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 2009Proceedings 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 Presented at 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)
• Harris, I., Naim, M. M., Palmer, A., Potter, A. T. and Mumford, C. L. 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.
• 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, 2007Proceedings 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 20072007 IEEE Symposium on Computational Intelligence in Scheduling. IEEE pp. 179-186., (10.1109/SCIS.2007.367687)
• 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 2006Parallel Problem-Solving From Nature - PPSN IX. Lecture Notes in Computer Science Vol. 4193. Berlin: Springer Verlag pp. 880-889., (10.1007/11844297_89)
• 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)
• 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 2005The 2005 IEEE Congress on Evolutionary Computation, Vol. 2. IEEE pp. 1268-1275., (10.1109/CEC.2005.1554836)
• 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 Presented at Mumford, C. L. ed.The 2005 IEEE congress on evolutionary computation, Vol. 3. IEEE pp. 2241-2247., (10.1109/CEC.2005.1554973)
• 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 Presented at 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)
• 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 2004CEC2004: Proceedings of the 2004 Congress on Evolutionary Computation, Vol. 2. Piscataway, NJ: IEEE pp. 1944-1951., (10.1109/CEC.2004.1331134)
• 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 2004Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International. IEEE pp. 261-269., (10.1109/IPDPS.2004.1303331)
• 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 Presented at 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. 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 2003The 2003 Congress on evolutionary computation 2003. CEC '03, Vol. 2. IEEE pp. 854-861., (10.1109/CEC.2003.1299756)
• 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 2002Proceedings of the 2002 Congress on Evolutionary Computation. IEEE pp. 717-722., (10.1109/CEC.2002.1007014)
• 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 Presented at Schoenauer, M. et al. eds.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)
• Mumford, C. L. 1999. Evolutionary divide and conquer (II) for the TSP. Presented at: GECCO-99, Orlando, FL, USA, 13-17 July 1999 Presented at Banzhaf, W. et al. eds.GECCO-99: Proceedings of the genetic and evolutionary computation conference. Orlando, FL.: Morgan Kauffman pp. 1744-1749.
• 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 Presented at Eiben, A. E. et al. eds.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)

• Mumford, C., Parker, C., Ntounis, N. and Dargan, E. 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)
• Ntounis, N., Mumford, C., Loroño-Leturiondo, M., Parker, C. and Still, K. 2020. How safe is it to shop? Estimating the amount of space needed to safely social distance in various retail environments. Safety Science 132, article number: 104985. (10.1016/j.ssci.2020.104985)
• Kheiri, A., Ahmed, L., Boyacı, B., Gromicho, J., Mumford, C., Özcan, E. and Dirikoç, A. S. 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)
• Heyken Soares, P., Mumford, C. L., Amponsah, K. and Mao, Y. 2019. An adaptive scaled network for public transport route optimisation. Public Transport 11(2), pp. 379-412. (10.1007/s12469-019-00208-x)
• Ahmed, L., Heyken-Soares, P., Mumford, C. and Mao, Y. 2019. Optimising bus routes with fixed terminal nodes. Presented at: The Genetic and Evolutionary Computation Conference, Prague, Czech Republic, 13-17 July 2019GECCO '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)
• Nesmachnow, S., Massobrio, R., Arreche, E., Mumford, C., Olivera, A. C., Vidal, P. J. and Tchernykh, A. 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)
• 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)
• Cooper, I., John, M. P., Lewis, R., Mumford, C. L. and Olden, A. 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 2014Evolutionary Computation (CEC). IEEE pp. 2841-2848., (10.1109/CEC.2014.6900362)
• 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 2014Computing and Networking (CANDAR), 2014 Second International Symposium on. IEEE pp. 347-353., (10.1109/CANDAR.2014.27)
• 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 Presented at 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)
• 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 2013Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE pp. 939-946., (10.1109/CEC.2013.6557668)
• Harris, I., Sanchez Rodrigues, V. A., Naim, M. M. and Mumford, C. L. 2012. Restructuring road freight transport networks within supply chains. In: McKinnon, A. et al. eds. Green Logistics: Improving the Environmental Sustainability of Logistics. Kogan Page, pp. 103-128.
• Lewis, R., Thompson, J. M., Mumford, C. L. and Gillard, J. W. 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)
• Harris, I., Mumford, C. L., Helsby, D. and Naim, M. M. 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.
• 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)
• 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 Presented at 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., Naim, M. M., Palmer, A., Potter, A. T. and Mumford, C. L. 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)
• 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)
• 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)
• 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)
• Harris, I., Naim, M. M., Sanchez Rodriguez, V. and Mumford, C. L. 2010. Restructuring of logistics systems and supply chains. In: McKinnon, A. et al. eds. Green Logistics: Improving the Environmental Sustainability of Logistics. London: Kogan Page, 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 2010Parallel 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)
• 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 2009Proceedings of the IEEE Congress on Evolutionary Computation, 2009 (CEC '09). Los Alamitos, CA: IEEE pp. 2732-2739., (10.1109/CEC.2009.4983285)
• 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)
• 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 Presented at 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)
• Harris, I., Naim, M. M., Palmer, A., Potter, A. T. and Mumford, C. L. 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)
• 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, 2007Proceedings 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 20072007 IEEE Symposium on Computational Intelligence in Scheduling. IEEE pp. 179-186., (10.1109/SCIS.2007.367687)
• 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)
• 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 2006Parallel Problem-Solving From Nature - PPSN IX. Lecture Notes in Computer Science Vol. 4193. Berlin: Springer Verlag pp. 880-889., (10.1007/11844297_89)
• 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)
• 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 2005The 2005 IEEE Congress on Evolutionary Computation, Vol. 2. IEEE pp. 1268-1275., (10.1109/CEC.2005.1554836)
• 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 Presented at 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)
• 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 Presented at 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)
• 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 2004CEC2004: Proceedings of the 2004 Congress on Evolutionary Computation, Vol. 2. Piscataway, NJ: IEEE pp. 1944-1951., (10.1109/CEC.2004.1331134)
• 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.
• 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 2004Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International. IEEE pp. 261-269., (10.1109/IPDPS.2004.1303331)
• 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 Presented at 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. 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 2003The 2003 Congress on evolutionary computation 2003. CEC '03, Vol. 2. IEEE pp. 854-861., (10.1109/CEC.2003.1299756)
• 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 2002Proceedings of the 2002 Congress on Evolutionary Computation. IEEE pp. 717-722., (10.1109/CEC.2002.1007014)
• 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)
• 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. 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 Presented at Schoenauer, M. et al. eds.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)
• Mumford, C. L. 1999. Evolutionary divide and conquer (II) for the TSP. Presented at: GECCO-99, Orlando, FL, USA, 13-17 July 1999 Presented at Banzhaf, W. et al. eds.GECCO-99: Proceedings of the genetic and evolutionary computation conference. Orlando, FL.: Morgan Kauffman pp. 1744-1749.
• 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 Presented at Eiben, A. E. et al. eds.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)
• 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)
• 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.
• 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.