I am a research fellow in Automated Scheduling, Optimisation and Planning Research Group, Department of Computer Science, University of Nottingham. My research interests include evolutionary computation, multi-objective optimization, combinatorial optimization, machine learning. I received the B.Sc. and M.Sc. degrees in applied mathematics from Xi¡¯an Jiaotong University, Xi¡¯an, China, in 1999 and 2002, respectively, and the Ph.D. degree in computer science from University of Essex, Colchester, U.K., in 2008. Room: B82
Phone: +44 115 846 8403 Fax:+44 115 846 7591
Email: hzl at cs.nott.ac.uk or hui.li at nottingham.ac.ukUniversity of Nottingham, Jubilee Campus,
Wollaton Road, Nottingham, NG8 1BBDr. Hui Li
The IEEE Transactions on Evolutionary Computation Outstanding Paper Award
Zhang and H. Li, MOEA/D: A Multi-objective Evolutionary Algorithm Based on Decomposition, IEEE Trans. on Evolutionary Computation,vol.11, no. 6, pp712-731 2007The Winner of the Unconstrained Multi-objective Evolutionary Algorithm Competition in the Congress of Evolutionary Computation 2009
The winning algorithm is MOEA/D
PUBLICATIONS
Journal Papers
H. Li and D. Landa-silva, An Adaptive Multi-objective Approach Based on Simulated Annealing, under review (submitted to Evolutionary Computation)
H. Li and Q. Zhang, Multiobjective Optimization Problems with Complicated Pareto Sets, MOEA/D and NSGA-II, IEEE Trans. on Evolutionary Computation, vol. 12, no. 2, pp 284-302, 2009, (c++ code)
Q. Zhang and H. Li, MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition, IEEE Trans. on Evolutionary Computation, vol: 11 no. 6, pp 712-731, 2007, (c++ code)
Conference Papers
H. Li and J.D. Landa-Silva, An Elitist GRASP Metaheuristic for the Multi-objective Quadratic Assignment Problem, Proceedings of the 2009 International Conference on Evolutionary Multi-criterion Optimization (EMO 2009), Lecture Notes in Computer Science, Vol. 5467, Springer, pp. 481-494, 2009.
K. Le, J. D. Landa-Silva, and H. Li. An Improved Version of Volume Dominance for Multi-objective Optimisation. Proceedings of the 2009 International Conference on Evolutionary Multi-criterion Optimization (EMO 2009), Lecture Notes in Computer Science, Vol. 5467, Springer, pp. 231-245, 2009.
H. Li and J.D. Landa-Silva, Evolutionary Multi-objective Simulated Annealing with Adaptive and Competitive Search Direction, Proceedings of the 2008 IEEE Congress on Evolutionary Computation (CEC 2008), IEEE Press, pp. 3310-3317, 01-06 June, 2008, Hong Kong.
H. Li and Q. Zhang, A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages, Proceedings of the 9th International Conference on Parallel Problem Solving from Nature (PPSN IX) vol.4193, pp 583-592, 10-13, September, 2006, Reykjavik, Iceland.
H. Li and Q. Zhang, A Decomposition-based Evolutionary Strategy for Bi-objective LOTZ Problem, Proceedings of AISB¡¯06: Adaptation in Artificial and Biological Systems - Volume 2, Symposia: Exploration vs. Exploitation in Naturally Inspired Search, pp. 188-191, 3-6 April, 2006, Bristol, UK.
H. Li, Q. Zhang, E. P. Tsang, and J. A. Ford, Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem, Proceedings of the 4th European conference on Evolutionary Computation in Combinatorial Optimization (EVOCOP¡¯04).
Q. Zhang, H. Li and E. P. Tsang, Estimation of Distribution Algorithm with Local Search for Approximating the Discrepancy of A Finite Set of Points, XVI Conference of the European Chapter on Combinatorial Optimization, 5-7 June 2003, Molde, Norway.
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Last updated 08/12/2009