[1] Mumford, Christine L., and Jain, Lakhmi C. (Eds). Computational Intelligence: Collaboration, Fusion and Emergence. Intelligent Systems Reference Library, Vol. 1. Springer Berlin Heidelberg. DOI Link
[2] Harris, I., Mumford, C. L., Naim, M. A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling, Transportation Research Part E, Vol 66, pp 1 - 22, 2014. DOI Link
[3] Harwood, K., Mumford, C. and Eglese, R. Investigating the use of metaheuristics for solving single vehicle routing problems with time-varying traversal costs, Journal of the Operational Research Society, vol. 64, pp 34-47,2013. (First published on line, 4 April 2012). DOI Link
[4] Hosny, M. I., and Mumford, C. L. Constructing Initial Solutions for the Multiple Vehicle Pickup and Delivery Problem with Time Windows. Journal of King Saud University - Computer and Information Sciences, Vol. 24 pp 59-69, 2012. DOI Link
[5] Lewis, R., Thompson J., Mumford, C., and Gillard, J. A Wide-Ranging Computational Comparison of High-Performance Graph Colouring Algorithms. Computers and Operations Research, vol. 39(9), pp 1933-1950, 2012. (Published on line 2011). DOI Link
[6] Harris, I., Naim, M., Palmer, A., Potter, A. and Mumford, C. Assessing the Impact of Cost Optimization Based on Infrastructure Modelling on CO2 Emissions, International Journal of Production Economics, Vol. 131 (1) 2011, pp 313-321, Elsevier Published on line: DOI Link.
[7] Mumford, Christine L. A multiobjective framework for heavily constrained examination timetabling problems. Annals of Operations Research, Vol 180 (1) 2010 pp 3 - 31. (Also first published on line in 2008). DOI Link.
[8] Fan, Lang, and Mumford, Christine.L. A metheuristic approach to the urban transit routing problem . Journal of Heuristics, Vol 16 (3) 2010 pp 353-372. (Also first published on line in 2008). DOI Link.
[9] Hosny, Manar.I., and Mumford, Christine.L. The single vehicle pickup and delivery problem with time windows: intelligent operators for heuristic and metaheuristic algorithms. Journal of Heuristics, Vol 16 (3) 2010 pp 417-439. (Also first published on line in 2008). DOI Link.
[10] Rosin, P.L. and Mumford, C.L. A Symmetric Convexity Measure. Computer Vision and Image Understanding Vol 103 (2), pp. 101-111, 2006. DOI Link.
[11] Valenzuela, C.L. and Wang, Pearl Y. VLSI Placement and Area Optimization Using a Genetic Algorithm to Breed Normalized Postfix Expressions IEEE Transactions on Evolutionary Computation Vol 6 (4), pp. 390-401, August 2002. DOI Link.
[12] Wang, Pearl Y and Valenzuela, C.L. Data set generation for rectangular placement problems. European Journal of Operational Research Vol 134 (2), pp. 378-391, 2001. DOI Link.
[13] Valenzuela, Christine L. A Study of Permutation Operators for Minimum Span Frequency Assignment using an Order Based Representation.Journal of Heuristics Vol. 7(1) pp 5-21, Kluwer Press 2001. DOI Link.
[14] Valenzuela, Christine L. and Jones, Antonia J. Estimating the Held-Karp lower bound for the geometric TSP. European Journal of Operational Research Vol 102 (No. 1) pp 157-175, October 2 1997. Abstract. DOI Link.
[15] Gilbert, A.H., Bell, Frances and Valenzuela, Christine L. Adaptive Learning of Process Control and Profit Optimisation Using a Classifier System. Evolutionary Computation 3(2): 177-198. MIT Press 1995. Abstract. DOI Link.
[16] Valenzuela, Christine L. and Jones, Antonia J. Evolutionary Divide and Conquer (I): a Novel Genetic approach to the TSP.Evolutionary Computation 1(4): 313-333. MIT Press 1994. Abstract. DOI Link.
[17] O’Connell, Jonathan F.,Mumford,Christine L., An Exact Dynamic Programming Based Method to Solve Optimisation Problems Using GPUs, Computing and Networking (CANDAR), 2014 Second International Symposium on. IEEE, 2014.
[18] Cooper, Ian, John, Matthew P., Lewis, Rhydian, Mumford, Christine Lesley and Olden, Andrew. Optimising large scale public transport network design problems using mixed-mode parallel multi-objective evolutionary algorithms. Evolutionary Computation (CEC), 2014 IEEE Congress on. IEEE, 2014.
[19] John, Matthew P., Christine L. Mumford, and Rhyd Lewis. An improved multi-objective algorithm for the urban transit routing problem. Evolutionary Computation in Combinatorial Optimisation. Springer Berlin Heidelberg, 2014. 49-60.
[20] Mumford, Christine L, New heuristic and evolutionary operators for the multi-objective urban transit routing problem, Evolutionary Computation (CEC), 2013 IEEE Congress on , vol. 1, pp.939,946, 20-23 June 2013. DOI Link
[21] Harris, I., Mumford, C.L., and Naim, M.M. An evolutionary bi-objective approach to the capacitated facility location problem with cost and CO2 emissions. Proceedings of the 13th annual conference on Genetic and evolutionary computation ACM, New York, pp 697-704, 2011. DOI Link.
[22] Hosny, M. I., and Mumford, C. L., Solving the one-commodity pickup and delivery problem using an adaptive hybrid VNS/SA approach. In Proceedings of the 11th International Conference on Parallel Problem Solving From Nature (PPSN2010), LNCS, Springer, Verlag pp 189-198, September 2010. DOI Link
[23] Fan, Lang Mumford, Christine L, Evans, Dafydd. A simple multi-objective optimization algorithm for the urban transit routing problem. IEEE Congress on Evolutionary Computation, pp 1-7, 2009. DOI Link.
[24] Harris Irina, Mumford Christine, Naim, Mohamed. Multi-objective uncapacitated facility location model for Green Logistics. IEEE Congress on Evolutionary Computation (IEEE CEC 2009), pp. 2732-2739. DOI Link.
[25] Hosny, M. and Mumford, C. Investigating Genetic Algorithms for Solving the Multiple Vehicle Pickup and Delivery Problem with Time Windows. In MIC2009: Proceedings of the Metaheuristic International Conference, July 2009.
[26] Hosny, M. and Mumford, C. New Solution Construction Heuristics for the Multiple-Vehicle Pickup and Delivery Problem with Time Windows. In MIC2009: Proceedings of the Metaheuristic International Conference, July 2009.
[27] Morgan, Matthew J W, Mumford, Christine L. A weight-coded genetic algorithm for the capacitated arc routing problem. Genetic and Evolutionary Computation Conference, (GECCO) 2009, pp 325-332, ACM. DOI Link.
[28] Harris I., Naim M., Palmer A., Potter A. and Mumford C., Assessing the Impact of Cost Optimization Based on Infrastructure Modelling on CO2 Emissions, 15th International Working Seminar on Production Economics, Innsbruck, March 3-7, 2008, Vol 3: 151-161.
[29] Mumford, Christine L., An Order Based Evolutionary Approach to Dual Objective Examination Timetabling. Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling (CI-Sched 2007), Honolulu, Hawaii, 2007. DOI Link.
[30] Hosny, Manar I. and Mumford, Christine L., Single Vehicle Pickup and Delivery with Time Windows: Made to Measure Genetic Encoding and Operators. Late Breaking Papers, Genetic and Evolutionary Computing Conference, University College, London, 2007. Abstract. DOI Link.
[31] Harris I., Naim M. and Mumford C., A review of infrastructure modelling for Green Logistics, Proceedings of the Logistics Research Network Annual Conference 2007, 5th - 7th September 2007, pp 694-699.
[32] Mumford, Christine L., New Order-Based Crossovers for the Graph Coloring Problem Parallel Problem Solving from Nature IX (PPSN IX), Reykjavik, Iceland, 2006, LNCC 4193, 880-889, Springer. DOI Link.
[33] Morgan, Matthew J. W. and Mumford, Christine L., Capacitated Vehicle Routing: perturbing the landscape to fool and algorithm. IEEE Congress on Evolutionary Computation (CEC) Edinburgh, Scotland, 2005, 2271-2277. DOI Link.
[34] Mumford, Christine L., A Hierarchical Solve-and-Merge Framework for Multi-Objective Optimization. IEEE Congress on Evolutionary Computation (CEC) Edinburgh, Scotland, 2005, 2241-2247. DOI Link. Conference presentation.
[35] Colombo, Gualtiero and Mumford, Christine L., Comparing Algorithms, Representations and Operators for the Multi-objective Knapsack Problem. IEEE Congress on Evolutionary Computation (CEC) Edinburgh, Scotland, 2005, 1268-1275. DOI Link.
[36] Dorband, J. E., Mumford, C. L. and Wang, P. Y., Developing an aCe Solution for Two-dimensional Strip Packing,. International Parallel and Distributed Processing Symposium, Workshop on Massively Parallel Processing, Santa Fe USA,2004. DOI Link.
[37] Rosin, P., and Mumford C., A Symmetric Convexity Measure. 17th International Conference on Pattern Recognition, (ICPR2004), Cambridge UK 2004, vol. 4, pp. 11-14. DOI Link.
[38] Mumford, Christine L., A hierarchical approach to multi-objective optimization. IEEE Congress on Evolutionary Computation (CEC) Portland, Oregon USA 2004, 1944-1951. DOI Link. . Conference presentation.
[39] Mumford, Christine L., Simple Population Replacement Strategies for a Steady-State Multi-Objective Evolutionary Algorithm. Genetic and Evolutionary Computation Conference (GECCO), Seattle, Washington, USA 2004, 1389-1400. DOI Link. . Conference presentation.
[40] Mumford, Christine L, Comparing Representations and Recombination Operators for the Multi-Objective 0/1 Knapsack Problem. Congress on Evolutionary Computation (CEC2003), 8 - 12 December, Canberra, Australia, 2003, 854-861. DOI Link.. Conference presentation..
[41] Valenzuela, Christine L, A Simple Evolutionary Algorithm for Multi-Objective Optimization (SEAMO). IEEE World Congress on Computational Intelligence (WCCI2002): Congress on Evolutionary Computation (CEC2002), 12 - 17 May 2002, Honolulu, Hawaii, pp. 717-722. DOI Link. Conference presentation..
[42] Valenzuela, Christine L., Wang, Pearl Y., Breeding Normalized Postfix Expressions for the Facility Layout Problem. Metaheuristic International Conference 2001 (MIC’2001), Porto, Portugal.
[43] Valenzuela, Christine L., Wang, Pearl Y., Heuristics for Large Strip Packing Problems with Guillotine Patterns: an Empirical Study, Metaheuristic International Conference 2001 (MIC’2001), Porto, Portugal.
[44] Valenzuela, Christine L., Wang, Pearl Y., A Genetic Algorithm for VLSI Floorplanning. Proc. Parallel Problem Solving from Nature VI (PPSN VI), Paris September 2000, Springer Verlag Lecture Notes in Computer Science 1917, pp 671-680. DOI Link.
[45] Valenzuela, Christine L., Evolutionary Divide and Conquer (II) for the TSP. The Genetic and Evolutionary Computation Conference, GECCO, Vol II; pp 1744-1749; Morgan Kaufmann 1-55860-611-4. Orlando, Florida, 1999.
[46] Valenzuela, Christine, Hurley, Steve and Smith, Derek. A Permutation Based Genetic Algorithm for Minimum Span Frequency Assignment. Parallel Problem Solving from Nature, Amsterdam, September 1998, pp 907-916 Springer Verlag Lecture Notes in Computer Science 1498.DOI Link
[47] Bradwell, R.A., Williams L.P. and Valenzuela, Christine L. Breeding Perturbed City Coordinates and ‘Fooling’ a Travelling Salesman Heuristic Algorithm. Third International Conference on Artificial Neural Networks and Genetic Algorithms, (ICANNGA97) Norwich, 2 - 4 April 1997, pp 241-249, Springer Verlag. DOI Link
[48] Valenzuela, Christine L., Jones, Antonia J and Hurley, S. Breeding Permutations for Minimum Span Frequency Assignment. Third International Conference on Artificial Neural Networks and Genetic Algorithms, (ICANNGA97) Norwich, 2 - 4 April 1997, pp 308-316, Springer Verlag. DOI Link
[49] Valenzuela, Christine L. and Williams, L. P. Improving Heuristic Algorithms for the Travelling Salesman Problem by using a Genetic Algorithm to Perturb the Cities. Proceedings of the Seventh International Conference on Genetic Algorithms, (ICGA97) Michigan State University, pp 458-464, Morgan Kaufmann, 1997.
[50] Sheppard, M., Oswald, A., Valenzuela C., Sullivan, G., Sotudeh, R. Tuning of a Reinforcement Learning controller to the Compensation of High Voltage Reactive Power Disturbances. 10th International Conference on Mathematical and Computer Modelling and Scientific Computing, 5-8th July 1995, Boston Massachusetts, U.S.A.
[51] Valenzuela, Christine L., and Jones, Antonia J. A Parallel Implementation of Evolutionary Divide and Conquer for the TSP. Proceedings of the First IEE/IEEE conference on Genetic ALgorithms in Engineering Systems: Innovations and Applications (GALESIA) Sheffield U.K. 12-14 September 1995: 499-504. DOI Link.
[52] Sheppard, M., Oswald, A., Valenzuela C., Sullivan, G., Sotudeh, R. Reinforcement Learning in Control. Proc. 9th Int. Conf. on Mathematical and Computer Modelling. Berkeley, CA, July 1993.
[53] Harris, Irina, Sanchez Rodrigues, Vasco Augusto, Naim, Mohamed Mohamed and Mumford, Christine Lesley 2012. Restructuring road freight transport networks within supply chains. In: McKinnon, Alan, Cullinane, Sharon, Browne, Michael and Whiteing, Anthony eds. Green Logistics: Improving the Environmental Sustainability of Logistics, Kogan Page, pp. 103-128.
[54] Mumford, Christine L. An Order Based Memetic Evolutionary Algorithm for Set Partitioning Problems. in J. Fulcher and L. Jain (eds) ‘Computational Intelligence: a compendium’, Springer Verlag, Berlin, 2008, Part IX, 881-925. DOI Link.
[55] Mumford, Christine L. A Simple Approach to Evolutionary Multi-Objective Optimization. Chapter 4 in ‘Evolutionary Multiobjective Optimization: Theoretical Advances and Applications’, edited by Ajith Abraham, Lakhmi Jain and Robert Goldberg. Springer Verlag, London, 2005, 55-80. DOI Link.
[56] Mumford-Valenzuela, Christine L., Vick, Janis and Wang, Pearl Y. Heuristics for large strip packing problems with guillotine patterns: An empirical study. Chapter 24 of Metaheuristics: Computer Decision-Making. Edited by D. Z. Du and P. M. Pardalos, Series Editors. Kluwer Academic Press, 2003, 501-522. DOI Link.
[57] A. Badii, M. J. Binstead, Antonia J. Jones, T. J. Stonham, and Christine L. Valenzuela. 1989. Applications of N-tuple sampling and genetic algorithms to speech recognition. In Neural computing architectures, Igor Aleksander (Ed.). MIT Press, Cambridge, MA, USA 172-216, 1989.
[58] Valenzuela, Christine L. and Wang, Pearl Y. Generating Data Sets for Rectangular Placement Problems, George Mason University Computer Science Department, Technical Report TR 99-05, 1999.
[59] Wang, P.Y., and Valenzuela (Mumford), C.L. Data Set Generation for Non-Slicing Rectangular Placement Problems, 2001.