A photo of Jingpeng LiDr Jingpeng Li
positionReader & Head of CHORDS Research Group
divisionComputer Science & Mathematics
roomRoom 4B95
telTel: +44(0) 178646-7450
faxFax: +44(0) 178646-4551
emailEmail: JLI@cs.stir.ac.uk
publicationsPersonal Details

journal Journal Publications & Book Chapters:

  1. Shen Y., Li J.* and Peng K. (2017): "An Estimation of Distribution Algorithm for Public Transport Driver Scheduling", International Journal of Operational Research 28: 245-262. pdf (*corresponding author)
  2. Ullah A., Li J. and Hussain A. (2016): "Towards Workload-Aware Cloud Resource Provisioning Using a Novel Multi-Controller Fuzzy Switching Approach", International Journal of High Performance Computing and Networking (to appear).
  3. Naseem R., Deris M., Maqbool O., Li J., Shahzad S. and Shah H. (2016): "Improved Binary Similarity Measures for Software Modularization", Frontiers of Information Technology & Electronic Engineering DOI 10.1631/FITEE.1500373. pdf
  4. Ullah A., Li J., Hussain A. and Yang E. (2016): "Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning", Cognitive Computation 8: 992-1005. pdf
  5. Shen Y., Xu J. and Li J. (2016): "A Probabilistic Model for Vehicle Scheduling Based on Stochastic Trip Times", Transportation Research – Part B 85: 19-31. pdf
  6. Li J., Bai R., Shen Y. and Qu R. (2015): "Search with Evolutionary Ruin and Stochastic Rebuild: a Theoretic Framework and a Case Study on Exam Timetabling", European Journal of Operational Research 242: 798-806. pdf
  7. Bai R., Wallace S.W., Li J. and Chong A. (2014): "Stochastic Network Design with Rerouting", Transportation Research – Part B 60:50-65. pdf
  8. Shen Y., Peng K., Chen K. and Li J. (2013): "Evolutionary Crew Scheduling with Adaptive Chromosomes", Transportation Research – Part B 56: 174-185. pdf
  9. Burke E.K., Li J.* and Qu R. (2012): "A Pareto-Based Search Methodology for Multi-objective Nurse Scheduling", Annals of Operations Research 196(1): 91-109. pdf (*corresponding author)
  10. Li J., Burke E.K. and Qu R. (2012): "A Pattern Recognition Based Intelligent Search Method and Two Assignment Problem Case Studies", Applied Intelligence 36: 442-453. pdf
  11. 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. pdf
  12. Li J., Parkes A. and Burke E.K. (2011): "Evolutionary Squeaky Wheel Optimization: A New Framework for Analysis", Evolutionary Computation 19(3): 405-428. pdf
  13. 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. pdf
  14. 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 (*corresponding author)
  15. 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.
  16. 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.
  17. Aickelin U., Burke E.K. and Li J.* (2009): "An Evolutionary Squeaky Wheel Optimisation Approach for Personnel Scheduling", IEEE Transactions on Evolutionary Computation 13(2): 433-443. pdf (*corresponding author)
  18. 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. pdf
  19. 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. pdf (*corresponding author)
  20. Aickelin U. and Li J.* (2007): "An Estimation of Distribution Algorithm for Nurse Scheduling", Annals of Operations Research 155 (1): 289-309. pdf (*corresponding author)
  21. 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. pdf (*corresponding author)
  22. 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.
  23. Li J. and Kwan R.S.K. (2005): "A Self-Adjusting Algorithm for Driver Scheduling", Journal of Heuristics 11 (4): 351-367. pdf
  24. 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. pdf
  25. 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. pdf
  26. Li J. and Kwan R.S.K. (2003): "A Fuzzy Genetic Algorithm for Driver Scheduling", European Journal of Operational Research 147 (2): 334-344. pdf
  27. Li J. (1999): "The Application of Genetic Algorithms in Classifier Systems", Journal of Wuhan Engineering Institute 11 (4): 48-55.

conference Selected Conference Contributions:

  1. Ullah A., Li J., Shen Y. and Hussain A. (2016): "Genetic Optimization of Fuzzy Membership Functions for Cloud Resource Provisioning", in Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (SSCI2016), IEEE Press, Athens, Greece.
  2. Reid K., Li J., Swan J., McCormick A. and Owesu G. (2016): "Variable Neighbourhood Search: A Case Study for a Highly-Constrained Workforce Scheduling Problem", in Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (SSCI2016), IEEE Press, Athens, Greece.
  3. Ali L., Hussain A., Li J., Howard N., Shah A., Sudhakar U., Shah M. and Hussain U. (2016): "A Novel Fully Automated Liver and HCC Tumor Segmentation System sing Morphological Operations", in Proceedings of the 8th International Conference on Brain Inspired Cognitive Systems (BICS 2016), Lecture Notes in Computer Science 10023: 240-250, Springer, Beijing, China.
  4. Peng K., Shen Y. and Li J. (2015): "A Multi-Objective Simulated Annealing for Bus Driver Rostering", in Proceedings of the 2015 International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA2015), Communications in Computer and Information Science 562: 320-336, Springer, Hefei, China.
  5. Cui T., Bai R., Parkes A.J., He F., Qu R. and Li J. (2015): "A Hybrid Genetic Algorithm for a Two-Stage Stochastic Portfolio Optimization With Uncertain Asset Prices", in Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC2015), pp. 2518-2525, IEEE Press, Sendai, Japan.
  6. Ali L., Hussain A., Li J., Zakir U., Yan X., Shah A., Sudhakr U., Luo B., Mahmud M. and Rajak M. (2014): "Intelligent Image Processing Techniques for Cancer Progression Detection, Recognition and Prediction in the Human Liver", in Proceedings of the 2014 IEEE Symposium Series on Computational Intelligence (SSCI2014), pp. 25-31, IEEE Press, Florida, USA.
  7. Cui T., Li J. and Woodward J. (2013): "An Ensemble Based Genetic Programming System to Predict English Premier League Games", in Proceedings of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI2013), pp. 138-143, IEEE Press, Singapore.
  8. Hong L., Woodward J., Li J. and Ozcan E. (2013): "Automated Design of Mutation Operators for Evolutionary Programming Using Genetic Programming", in Proceedings of the 16th European Conference on Genetic Programming (EuroGP2013), Lecture Notes in Computer Science 7831: 85-96, Springer, Vienna, Austria.
  9. Li J., Qu R. and Shen Y. (2012): "Evolutionary Ruin and Stochastic Recreate: a Case Study on the Exam Timetabling Problem", in Proceedings of the 26th European Conference on Modelling and Simulation (ECMA2012), pp. 347-353, Koblenz, Germany.
  10. 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. (*corresponding author)
  11. Li J. and Aickelin U. (2003): "A Bayesian Optimization Algorithm for the Nurse Scheduling Problem", in Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), pp. 2149-2156, IEEE Press, Canberra, Australia.
  12. Li J. and Aickelin U. (2003): "Explicit Learning: an Effort towards Human Scheduling Algorithms", in Proceedings of the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA2003), pp. 240-241, ISBN: 0-9545821-0-1, Nottingham, UK.
  13. 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.
  14. 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.
  15. Li J. and Kwan R. (2001): "Evolutionary Driver Scheduling with Fuzzy Evaluation", in Graduate Student Workshop of Genetic and Evolutionary Computation Conference (GECCO2001), pp. 421-424, San Francisco, USA.
  16. 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.

Last update: 29-09-2016 10:08 AM