University of Leicester

informatics

photo of CHANGHE LI

STAFF — CHANGHE LI MSc,CUG,China

Research Student in Computer Science
G2Informatics Building
Department of Informatics,
University of Leicester,
University Road,
Leicester,
LE1 7RH.

T: +4 (0)116 252 3883
F: +4 (0)116 252 3915
E: cl160@mcs.le.ac.uk

Personal statement

I am PhD student at Mathematics and Computer Science Building,Department of Computer Science, University of Leicester,University Road,Leicester, LE1 7RH,UK. I take part in the research of the project Evolutionary Algorithms for Dynamic Optimisation Problems: Design, Analysis and Applications now. My supervisor is Dr. Shengxiang Yang.


Research Interests

  • Evolutionary Algorithms
  • Dynamic Optimization
  • Particle Swarm Optimization
  • Multi-objective Optimization

Teaching Assistance

  • CO7104: C++ Programming and Advanced Algorithm Design 2008 ( Makefile ).
  • CO2005: Object-oriented programming using C++ 2009.
  • CO2017: Operating Systems and Networks 2009.
  • CO2017: Operating Systems, Networks and Distributed Systems 2010.

Technique report

  1. Benchmark Generator for CEC'2009 Competition on Dynamic Optimization. Special session of Evolutionary Computation in Dynamic and Uncertain Environments on the 2009 IEEE Congress on Evolutionary Computation (codes for C++,MATLAB).

Publications

  1. C. Li and S. Yang. Adaptive learning particle swarm optimizer--II for function optimization. Proceedings of the 2010 IEEE Congress on Evolutionary Computation, 2010. IEEE Press
  2. S. Yang and C. Li. A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. , Evolutionary Computation, IEEE Transactions on , vol.14, no.6, pp.959-974, Dec. 2010 (Please write to me for the source codes)
  3. I. Korejo, S. Yang and C. Li. A Directed Mutation Operator for Real Coded Genetic Algorithms. To appear in EvoApplications 2010: Applications of Evolutionary Computing, LNCS, 2010.
  4. I.Korejo, S. Yang and C. Li. A comparative study of adaptive mutation operators for Genetic Algorithms. Proceedings of the 8th Metaheuristic International Conference, 2009.
  5. C. Li and S. Yang. An adaptive learning particle swarm optimizer for function optimization. Proceedings of the 2009 IEEE Congress on Evolutionary Computation, pp. 381-388, 2009. IEEE Press.
  6. C. Li and S. Yang. A clustering particle swarm optimizer for dynamic optimization. Proceedings of the 2009 IEEE Congress on Evolutionary Computation, pp. 439-446, 2009. IEEE Press.
  7. C. Li and S. Yang. A generalized approach to construct benchmark problems for dynamic optimization. Proceedings of the 7th Int. Conf. on Simulated Evolution and Learning, 2008, 2008. Springer.
  8. C. Li and S. Yang. An island based hybrid evolutionary algorithm for optimization. Proceedings of the 7th Int. Conf. on Simulated Evolution and Learning, 2008. ,Springer.
  9. Zhuo Kang, Lishan Kang, Changhe Li, Yuping Chen and Minzhong Liu, Convergence properties of E-optimality algorithms for Many objective Optimization Problems.Evolutionary Computation, 2008. CEC 2008. pp:472-477,2008.
  10. C. Li, S. Yang and I. A. Korejo. An adaptive mutation operator for particle swarm optimization. Proceedings of the 2008 UK Workshop on Computational Intelligence, pp. 165-170, 2008.
  11. C. Li and S. Yang. Fast multi-swarm optimization for dynamic optimization problems. Proceedings of the 4th International Conference on Natural Computation, vol. 7, pp. 624-628, 2008. IEEE Press.
  12. C. Li, Y. Liu, L. Kang and A. Zhou. A Fast Particle Swarm Optimization Algorithm with CauchyMutation and Natural Selection Strategy. Springer Press,ISICA2007, LNCS4683, pp.334-343.
  13. Q. Zhang,C. Li, Y. Liu and L. Kang. Fast Multi-swarm Optimization with Cauchy Mutation and Crossover operation. ISICA07'. Springer Press,ISICA2007, LNCS 4683.
  14. Y. gan, C. Li and L. Kang. New function optimization algorithm based on gridding. Journal of Computer Applications, 2007,27(07): 1760-1762.
  15. H. Wang, Y. Liu, C. Li and S. Zeng. A Hybrid Particle Swarm Algorithm with Cauchy Mutation. In the proceedings of the 2007 IEEE Swarm Intelligence Symposium.
  16. H. Wang, Y.Liu, S. Zeng and C.Li. Opposition-based Particle Swarm Algorithm with Cauchy Mutation. CEC2007, 2007 IEEE Congress on Evolutionary Computation.
  17. Z. Kang, L. Kang, X. Zou, M. Liu, C. Li. A New Evolutionary Decision Theory for Many-Objective Optimization Problems. ISICA07',Springer Press,ISICA2007, LNCS 4683.
  18. C. Li, M. Yang, L. Kang. A New Approach to Solving Dynamic TSP . SEAL06', Springer Press SEAL 2006, LNCS 4247, pp. 236-243, 2006.

Source codes

    To require the source codes about the SLPSO and CPSO algorithms, please contact me with changhe.lw@gmail.com

Author: CHANGHE LI (cl160@mcs.le.ac.uk), T: +4 (0)116 252 3883.
University of Leicester . Last modified: 5th March 2011, 18:43:05.
Informatics Web Maintainer. Any opinions expressed on this page are those of the author.