Biography

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)
  1. 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.
  2. Li J., Parkes A. and Burke E.K. (2011): "Evolutionary Squeaky Wheel Optimization: A New Framework for Analysis", Evolutionary Computation 19(3): 405-428.
  3. 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.
  4. 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.
  5. 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
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. Aickelin U. and Li J.* (2007): "An Estimation of Distribution Algorithm for Nurse Scheduling", Annals of Operations Research 155 (1): 289-309.
  14. 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.
  15. 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.
  16. Li J. and Kwan R.S.K. (2005): "A Self-Adjusting Algorithm for Driver Scheduling", Journal of Heuristics 11 (4): 351-367.
  17. 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.
  18. 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.
  19. 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.
  20. Li J. and Kwan R.S.K. (2003): "A Fuzzy Genetic Algorithm for Driver Scheduling", European Journal of Operational Research 147 (2): 334-344.
  21. 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.
  22. 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.
  23. 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.
  24. Li J. (1999): "The Application of Genetic Algorithms in Classifier Systems", Journal of Wuhan Engineering Institute 11 (4): 48-55.
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