Dr. Jingpeng Li
School of Computer Science
The University of Nottingham, UK
Senior Research Fellow
Email: jpl@cs.nott.ac.uk
Qualifications
2002 Ph.D., University of Leeds, Computer Science
1998 M.Sc., Huazhong University of Science and Technology, Computational Mathematics
1990 B.Sc., Hangzhou Dianzi University, Computer Science
Publications (selected)
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Li J., Burke E.K., Curtois T., Petrovic S. and Qu R. (2012): "The Falling Tide Algorithm: a New Multi-objective Approach for Complex Workforce Scheduling", OMEGA – The International Journal of Management Science 40: 283-293.
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Li J., Parkes A. and Burke E.K. (2011): "Evolutionary Squeaky Wheel Optimization: A New Framework for Analysis", Evolutionary Computation 19(3): 405-428.
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Li J., Burke E.K. and Qu R. (2011): "Integrating Neural Network and Logistic Regression to Underpin Hyper-heuristic Search", Knowledge-Based Systems 24(2): 322-330.
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Li J., Burke E.K. and Qu R. (2010): "A Pattern Recognition Based Intelligent Search Method and Two Assignment Problem Case Studies", (published online on 31 Dec 2010) Applied Intelligence. DOI 10.1007/s10489-010-0270-z.
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Burke E.K., Li J. and Qu R. (2010): "A Hybrid Model of Integer Programming and Variable Neighbourhood Search for Highly-constrained Rostering Problems", European Journal of Operational Research 203(2): 484-493. Pdf
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Bai R., Burke E.K., Kendall G., Li J. and McCollum B. (2010): "An Efficient Evolutionary Hybrid Algorithm for the Nurse Rostering Problem", IEEE Transactions on Evolutionary Computation 14(4): 580-590.
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Li J., Aickelin U. and Burke E.K. (2009): "A Component-Based Heuristic Search Method with Evolutionary Eliminations for Hospital Personnel Scheduling", INFORMS Journal on Computing 21(3): 468-479.
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Li J., Aickelin U., Burke E.K. (2009): "An Evolutionary Squeaky Wheel Optimisation Approach for Personnel Scheduling", IEEE Transactions on Evolutionary Computation 13(2): 433-443.
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Beddoe G., Petrovic S. and Li J. (2009): "A Hybrid Metaheuristic Case-Based Reasoning System for Nurse Rostering", Journal of Scheduling 12(2): 99-119.
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Burke E.K., Li J. and Qu R. (2008): "A Pareto-Based Search Methodology for Multi-objective Nurse Scheduling", Annals of Operations Research. DOI 10.1007/s10479-009-0590-8.
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Burke E.K., Li J. and Qu R. (2008): "Data Mining: an Aid Towards more Efficient Hyper-heuristic Search", The 7th International Conference on the Practice and Theory of Automated Timetabling (PATAT2008), Montreal, Canada.
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Aickelin U., Burke E.K. and Li J. (2007): "An Estimation of Distribution Algorithm with Intelligent Local Search for Rule-based Rostering", Journal of the Operational Research Society 58 (12): 1574-1585.
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Aickelin U. and Li J.* (2007): "An Estimation of Distribution Algorithm for Nurse Scheduling", Annals of Operations Research 155 (1): 289-309.
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Aickelin U., Burke E.K. and Li J.* (2006): "Improved Squeaky Wheel Optimisation for Driver Scheduling", Parallel Problem Solving from Nature, Lecture Notes in Computer Science 4193: 182-191, Springer.
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15.Li J. and Aickelin U. (2006): "BOA for Nurse Scheduling", in: Pelican M, Sastry K and Cantú-Paz E. (eds), Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications, Chapter 17, pp. 315-332, Springer.
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Li J. and Kwan R.S.K. (2005): "A Self-Adjusting Algorithm for Driver Scheduling", Journal of Heuristics 11 (4): 351-367.
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Li J. and Aickelin U. (2003): "A Bayesian Optimization Algorithm for the Nurse Scheduling Problem", in Proceedings of 2003 Congress on Evolutionary Computation (CEC2003), pp. 2149-2156, IEEE Press, Canberra, Australia.
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Li J. and Aickelin U. (2004): "The application of Bayesian Optimization and Classifier Systems in Nurse Scheduling", Parallel Problem Solving from Nature, Lecture Notes in Computer Science 3242: 581-590, Springer.
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Li J. and Kwan R.S.K. (2004): "A Meta-Heuristic with Orthogonal Experiment for the Set Covering Problem", Journal of Mathematical Modelling and Algorithms 3 (3): 263-283.
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Li J. and Kwan R.S.K. (2003): "A Fuzzy Genetic Algorithm for Driver Scheduling", European Journal of Operational Research 147 (2): 334-344.
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Li J. and Kwan R. (2002): "A Fuzzy Evolutionary Approach with Taguchi Parameter Setting for the Set Covering Problem", in Proceedings of Congress on Evolutionary Computation (CEC2002), pp. 1203-1208, IEEE Press, Honolulu, USA.
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Li J. and Kwan R. (2001): "A Fuzzy Theory Based Evolutionary Approach for Driver Scheduling", in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2001), pp. 1152-1158, Morgan Kaufman, San Francisco, USA.
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Li J. and Kwan R. (2001): "A Fuzzy Simulated Evolution Algorithm for the Driver Scheduling Problem", in Proceedings of Congress on Evolutionary Computation (CEC2001), vol. 2, pp. 1115-1122 IEEE Press, Seoul, Korea.
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Li J. (1999): "The Application of Genetic Algorithms in Classifier Systems", Journal of Wuhan Engineering Institute 11 (4): 48-55.
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