Professor Qingfu Zhang

School of Computer Science & Electronic Engineering, University of Essex, Wivenhoe Park,  Colchester, CO4 3SQ, UK

E-mail:  qzhang (non-essex users should add @essex.ac.uk ) Tel No:  (44)  1206 872336 (work) My office room no and photo can be found in My Departmental  Homepage

Research Areas: Neural Networks, Evolutionary Computation, Mathematical Programming, Statistical Data Analysis and Telecommunication Networks.

Publication  (downloadable and with codes)	PhD Students and Visitors	Research Projects at Essex
Editorships and Other External Activities	Short CV	Links
Web of Probability Model Based Heuristics (out of date)	Web for CEC09 MOEA competition (Test Problems, Algorithms and Codes).	Patents
MOEA/D Web   (new)

Call for Paper:  

· Special Session on Simulation Model Based Evolutionary Computation and Its Application at WCCI 2012.

· Special Session on Evolutionary Algorithms with Statistical & Machine Learning Techniques at WCCI 2012.

Awards:  

§ The IEEE Transactions on Evolutionary Computation Outstanding Paper Award for

Q. 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  2007.

§ The Winner of the Unconstrained Multiobjective Evolutionary Algorithm Competition in the Congress of Evolutionary Computation 2009.    

The winning algorithm is MOEA/D.  

§ The Best Student Paper Award in the Congress of Evolutionary Computation 2011. 

C.  Echegoyen, Q.  Zhang,  A.  Mendiburu, R.  Santana  and J. A.  Lozano, On the Limits of Effectiveness in Estimation of Distribution Algorithms.

Recent Technical Reports:  

§ L.  Ke,  Q. Zhang and R. Battiti,   Multiobjective Combinatorial Optimization by Using Decomposition and Ant Colony, 2010. 

§ A. Jaszkiewicz, H. Ishibuchi, and Q. Zhang,  Multiobjective Memetic Algorithms.  2010

Recent Journal Papers:

· S-Z Zhao, P N Suganthan, and Q  Zhang,  MOEA/D with an Ensemble of Neighbourhood Sizes, IEEE Trans on Evolutionary Computation,  2011. Accepted.  

· D. Saxena,  J. A. Duro,  A. Tiwari,  K. Deb,  and Q. Zhang, Objective Reduction in Many-objective Optimization: Linear and Nonlinear Algorithms, IEEE Trans on Evolutionary Computation,  2011. Accepted.  

· J. Sun, J. M. Garibaldi, N. Krosnogor and Q. Zhang, An Intelligent Multi-Restart Memtic Algorithm for Unconstrained Global Optimization, Evolutionary Computation,  2011. Accepted.  

· Zhou, B-Y Qu. H Li, S-Z Zhao, P N Suganthan,  and Q  Zhang,  Multiobjective evolutionary algorithms: A survey of the state of the art, Swarm and Evolutionary Computation, vol. 1, pp. 32-49, 2011.

· Y. Wang, Z. Cai  and Q. Zhang, Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters, IEEE Trans on Evolutionary Computation,   paper (pdf) matlab code    Vol.15, No.1,  pp55-66, 2011.  

· Q. Zhang, W. Liu,   E. Tsang and B. Virginas, Expensive Multiobjective Optimization by MOEA/D with Gaussian Process Model,  paper (pdf) and source code  (updated on 20/09/2010).   IEEE Trans on Evolutionary Computation, vol. 14,  no.3, pp 456-474,  2010.  

· A. Zhou, Q. Zhang  and Y. Jin, Approximating the Set of Pareto Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm, paper (pdf) ,  C++ code,   IEEE Trans on Evolutionary Computation,   vol. 13,  no. 5,  pp1167-1189, 2009.  

· 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, April/2009,   paper (pdf) and C++ code.

· Q. Zhang, A. Zhou and Y. Jin, RM-MEDA: A Regularity Model Based Multiobjective Estimation of Distribution Algorithm, IEEE Trans. on Evolutionary Computation, vol. 12, no. 1, pp 41-63,  2008 MATLAB code , C++ code, and Erratum to figure 20. 

· Q. 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  2007. C++Code:  continuous MOP and knapsack problem.  Matlab Code.  Java Code (written by Wudong Liu).

Brief Introduction to My Research (I will update it soon if I have time): 

§ MOEA/D:  Population Based Method+ Aggregation Methods for Multiobjective Optimization can be found in the web of MOEA/D  (new)

§ RM-MEDA:   Using regularity property to design efficient multiobjective estimation of distribution algorithm.

§ Expensive Optimization

§ Estimation of Distribution Algorithm + Genetic Algorithm:  Guided Mutation

§ Evolutionary Algorithm + Experimental Design: Orthogonal Crossover  

§ Different Evolution

§ Theory of Estimation of Distribution Algorithm

§ Principal Component Analysis and Independent Component Analysis

§ EAs for Telecommunication Networks

§ Linear Programming  

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Last updated by Q. Zhang, 03/2009