Qingfu Zhang
Home
About
Awards
Services
Research
Publications
Patents
AI and Metaheurisictics Group
MOEA/D Web

Journal Publications

Notes: These materials are presented to ensure timely dissemination of scholarly and technical work. The copyright of these papers is owned by their publishers. Misuse of any of the posted below may result in plagiarism. By downloading any material from this site, you are assumed to agree with these terms. Selected conference publications can be found here. 

Forthcoming

  1. Rui Wang, Qingfu Zhang, Tao Zhang, “Decomposition Based Algorithms Using Pareto Adaptive Scalarizing Methods”, IEEE Transactions on Evolutionary Computation

  2. Hu Zhang, Aimin Zhou, Shenmin Song, Qingfu Zhang, Xiao-Zhi Gao, Jun Zhang, “A Self-Organizing Multiobjective Evolutionary Algorithm”, IEEE Transactions on Evolutionary Computation

  3. Hui Li, Qingfu Zhang, Jingda Deng, “Biased Multiobjective Optimization and Decomposition Algorithm”, IEEE Transactions on Cybernetics

  4. Xiao Zhang, Yu Zhou, Qingfu Zhang, Victor C. S. Lee, Minming Li, “Problem Specific MOEAD for Barrier Coverage with Wireless Sensors”, IEEE Transactions on Cybernetics/

  5. Xinye Cai, Zhixiang Yang, Zhun Fan, Qingfu Zhang, “Decomposition-Based-Sorting and Angle-Based-Selection for Evolutionary Multiobjective and Many-Objective Optimization”, IEEE Transactions on Cybernetics 

2016

  1. Bo Liu, Slawomir Koziel, Qingfu Zhang, “A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems”,Journal of Computational Science, 12: 28-37(2016). © Elsevier

  2. Hong Li, Qingfu Zhang, Qin Chen, Li Zhang, Yong-Chang Jiao, “Multiobjective differential evolution algorithm based on decomposition for a type of multiobjective bilevel programming problems”, Knowledge-Based Systems, 107: 271-288(2016). © Elsevier

  3. Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao, “Adaptive Replacement Strategies for MOEAD”, IEEE Transactions on Cybernetics/, 46(2): 474-486 (2016). © IEEE. code.

  4. Handing Wang, Qingfu Zhang, Licheng Jiao, Xin Yao, “Regularity Model for Noisy Multiobjective Optimization”, IEEE Transactions on Cybernetics, 46(9): 1997-2009 (2016). © IEEE

  5. Aimin Zhou, Qingfu Zhang, “Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms”, IEEE Transactions on Evolutionary Computation, 20(1), 52-64 (2016). © IEEE

  6. Luping Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao, “Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm”, IEEE Transactions on Evolutionary Computation, 20(3): 475-480 (2016). © IEEE. code.

  7. Dhish Kumar Saxena, Arnab Sinha, João A. Duro, Qingfu Zhang, “Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms”, IEEE Transactions on Evolutionary Computation, 20(4): 485-498 (2016). © IEEE 

2015

  1. Yue-Jiao Gong, Wei-Neng Chen, Zhi-Hui Zhan, Jun Zhang, Yun Li, Qingfu Zhang, Jing-Jing Li, “Distributed evolutionary algorithms and their models: A survey of the state-of-the-art”, Applied Soft Computing, 34: : 286-300 (2015). © Elsevier

  2. Zexuan Zhu, Jun Xiao, Jian-Qiang Li, Fangxiao Wang, Qingfu Zhang, “Global path planning of wheeled robots using multi-objective memetic algorithms”, Integrated Computer-Aided Engineering, 22(4): 387-404 (2015). © IOS Press

  3. Zhiwei Feng, Qingbin Zhang, Qingfu Zhang, Qiangang Tang, Tao Yang, Yang Ma, “A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization”, Journal of Global Optimization, 61(4): 677-694 (2015). © Springer

  4. Alvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodríguez, “Multiobjective evolutionary algorithm based on decomposition for 3-objective optimization problems with objectives in different scales”, Soft Computing, 19(1): 157-166 (2015). © Springer

  5. Ke Li, Sam Kwong, Qingfu Zhang, Kalyanmoy Deb, “Interrelationship-Based Selection for Decomposition Multiobjective Optimization”, IEEE Transactions on Cybernetics, 45(10): 2076-2088 (2015). © IEEE

  6. Xinye Cai, Yexing Li, Zhun Fan, Qingfu Zhang, “An External Archive Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Combinatorial Optimization”, IEEE Transactions on Evolutionary Computation, 19(4): 508-523 (2015). © IEEE

  7. Ke Li, Kalyanmoy Deb, Qingfu Zhang, Sam Kwong, “An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition”, IEEE Transactions on Evolutionary Computation, 19(5): 694-716 (2015). © IEEE

  8. Aimin Zhou, Jianyong Sun, Qingfu Zhang, “An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods”, IEEE Transactions on Evolutionary Computation, 19(5): 694-716 (2015). © IEEE

  9. Shengbin Liao, Qingfu Zhang, “A Multiutility Framework With Application for Studying Tradeoff Between Utility and Lifetime in Wireless Sensor Networks”, IEEE Transactions on Vehicular Technology, 64(10): 4701-4711 (2015). © IEEE 

2014

  1. Joao A. Duro, Dhish Kumar Saxena, Kalyanmoy Deb, Qingfu Zhang, “Machine Learning based Decision Support for Many-objective Optimization Problems”, Neurocomputing,146: 30-47 (2014).

  2. ??lvaro Rubio-Largo; Qingfu Zhang, Miguel A. Vega-Rodr??guez, “A Multiobjective Evolutionary Algorithm based on Decomposition with Normal Boundary Intersection for Traffic Grooming in Optical Networks”, Information Sciences, 289: 91-116 (2014).

  3. Liangjun Ke, Qingfu Zhang, Robert Battiti, “A Simple yet Efficient Multiobjective Combinatorial Optimization Method Using Decomposition and Pareto Local Search”, IEEE Transactions on Cybernetics, 44(10): 1808-1820 (2014).

  4. Ke Li, Qingfu Zhang, Sam Kwong, Miqing Li, Ran Wang, “Stable Matching Based Selection in Evolutionary Multiobjective Optimization”, IEEE Transactions on Evolutionary Computation, 18(6): 909-923 (2014).

  5. Hai-Lin Liu, Fangqing Gu, Qingfu Zhang, “Decomposition of a Multiobjective Optimization Problem into a Number of Simple Multiobjective Subproblems”, IEEE Transactions on Evolutionary Computation, 8(3): 450-455 (2014).code.

  6. Jianyong Sun, Qingfu Zhang, Xin Yao, “Meta-Heuristics Combining Prior, Online and Offline Information for the Quadratic Assignment Problem”, IEEE Transactions on Cybernetics,44(3): 429-444 (2014).

  7. Aimin Zhou, Yaochu Jin, Qingfu Zhang, “A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization”, IEEE Transactions on Cybernetics, 44(1): 40-53 (2014).

  8. Bo Liu, Qingfu Zhang, Georges G. E. Gielen, “A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems”, IEEE Transactions on Evolutionary Computation, 18(2): 180-192 (2014).

  9. Ke Li, ??lvaro Fialho, Sam Kwong, Qingfu Zhang, “Adaptive Operator Selection with Bandits for Multiobjective Evolutionary Algorithm Based on Decomposition”, IEEE Transactions on Evolutionary Computation, 18(1): 114-130 (2014) 

2013

  1. Liangjun Ke, Qingfu Zhang, Robert Battiti, “MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and Ant Colony”, IEEE Transactions on Cybernetics, Vol. 43, No. 6, pp: 1845-1859, December, 2013. © IEEE

  2. Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, “Fitness Modeling With Markov Networks”, IEEE Transactions on Evolutionary Computation, Vol. 17, No. 6, pp: 862-879, December, 2013. © IEEE

  3. Bo Liu, Qingfu Zhang, Francisco V. Fern??ndez, Georges G. E. Gielen, “An Efficient Evolutionary Algorithm for Chance-Constrained Bi-Objective Stochastic Optimization”, IEEE Transactions on Evolutionary Computation, Vol. 17, No. 6, pp: 786-796, December, 2013. © IEEE

  4. Maoguo Gong, Xiaowei Chen, Lijia Ma, Qingfu Zhang, Licheng Jiao, “Identification of Multi-resolution Network Structures with Multi-objective Immune Algorithm”, Applied Soft Computing, Vol. 13, No.4, pp: 1705-1717, April, 2013. © Elsevier

  5. Dhish Kumar Saxena, Jo??o A. Duro, Ashutosh Tiwari, Kalyanmoy Deb, Qingfu Zhang, “Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms”, IEEE Transactions on Evolutionary Computation, Vol. 17, No. 1, pp: 77-99, February, 2013. © IEEE 

2012

  1. Shih-Hsin Chen, Pei-Chann Chang, T. C. E. Cheng, Qingfu Zhang, “A Self-guided Genetic Algorithm for permutation flowshop scheduling problems”, Computers & Operations Research, Vol. 39, No. 7, pp: 1450-1457, July, 2012. © Elsevier

  2. Shi-Zheng Zhao, P. N. Suganthan, Qingfu Zhang, “Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes”, IEEE Transactions on Evolutionary Computation, Vol. 16, No. 3, pp: 442-446, June, 2012. © IEEE

  3. Yong Wang, Zixing Cai, Qingfu Zhang, “Enhancing the Search Ability of Differential Evolution Through Orthogonal Crossover”, Information Sciences, Vol. 185, No. 1, pp: 153-177, Feburary, 2012. © Elsevier 

2011

  1. Aimin Zhou, Bo-Yang Qu, Hui Li, Shi-Zheng Zhao, P. N. Suganthan, Qingfu Zhang, “Multiobjective Evolutionary Algorithms: A Survey of the State-of-the-art”, Swarm and Evolutionary Computation Vol. 1, No. 1, pp: 32-49, March, 2011. © Elsevier

  2. Yong Wang, Zixing Cai, Qingfu Zhang, “Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters”, IEEE Transactions on Evolutionary Computation, Vol. 15, No. 1, pp: 55-66, February, 2011. © IEEE 

2010

  1. Jianyong Sun, Qingfu Zhang, Jin Li, “Two-Level Evolutionary Approach to the Survivable Mesh-Based Transport Network Topological Design”, Journal of Heuristics, Vol. 16, No.5, pp: 723-744, October, 2010. © Springer

  2. Shih-Hsin Chen, Min-Chih Chen, Pei-Chann Chang, Qingfu Zhang, Yuh-Min Chen, “Guidelines for Developing Effective Estimation of Distribution Algorithms in Solving Single Machine Scheduling Problems”, Expert Systems with Applications, Vol. 37, No. 9, pp: 6441-6451, September, 2010. © Elsevier

  3. Qingfu Zhang, Wudong Liu, Edward P. K. Tsang, Botond Virginas, “Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model”, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 3, pp: 456-474, June, 2010. © IEEE

  4. Andreas Konstantinidis, Kun Yang, Qingfu Zhang, Demetrios Zeinalipour-Yazti: “A Multi-objective Evolutionary Algorithm for the Deployment and Power Assignment Problem in Wireless Sensor Networks”, Computer Networks, Vol. 54, No. 6, pp: 960-976, April, 2010. © Elsevier

  5. Qingfu Zhang, “Reactive Search and Intelligent Optimization (Battiti, R., et al.; 2008) [Book Review]”, IEEE Computational Intelligence Magazine, Vol. 5, No. 1, pp: 59-60, February, 2010. © IEEE 

2009

  1. Aimin Zhou, Qingfu Zhang, Yaochu Jin, “Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm”. IEEE Transactions on Evolutionary Computation, Vol. 13, No. 5, pp: 1167-1189, October, 2009. © IEEE

  2. Jingtao Yao, Qingfu Zhang, Jingsheng Lei, “Recent Developments in Natural Computation”, Neurocomputing, Vol. 72, No. 13-15, pp: 2833-2834, August, 2009. © Elsevier

  3. Hui Li, Qingfu Zhang, “Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II”. IEEE Transactions on Evolutionary Computation, Vol. 13, No. 2, pp: 284-302, April, 2009. © IEEE 

2008

  1. Jianyong Sun, Qingfu Zhang, Jin Li, Xin Yao, “A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design”, International Journal of Computational Intelligence and Applications, Vol. 7, No. 2, pp: 187-200, June, 2008. © World Scientific

  2. Deyu Meng, Yee Leung, Zongben Xu, Tung Fung, Qingfu Zhang, “Improving Geodesic Distance Estimation based on Locally Linear Assumption”. Pattern Recognition Letters, Vol. 29, No. 7, pp: 862-870, May, 2008. © Elsevier

  3. Qingfu Zhang, Aimin Zhou, Yaochu Jin, “RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm”. IEEE Transactions on Evolutionary Computation, Vol. 12, No. 1, pp: 41-63, February, 2008. © IEEE 

2007

  1. Qingfu Zhang, Hui Li, “MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition”, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 6, pp: 712-731, December, 2007. © IEEE

  2. Andreas Konstantinidis, Kun Yang, Hsiao-Hwa Chen, Qingfu Zhang, “Energy-aware Topology Control for Wireless Sensor Networks using Memetic Algorithms”, Computer Communications, Vol. 30, No. 14-15, pp: 2753-2764, October, 2007. © Elsevier

  3. Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang, “Combinations of Estimation of Distribution Algorithms and Other Techniques”, International Journal of Automation & Computing, Vol. 4, No. 3, pp: 273-280, July, 2007.

  4. Qingfu Zhang, Jianyong Sun, Gaoxi Xiao, Edward P. K. Tsang, “Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints”, IEEE Transactions on Systems, Man, and Cybernetics, Part B, Vol. 37, No. 1, pp: 51-61, February, 2007. © IEEE 

2005

  1. Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang, “An Evolutionary Algorithm with Guided Mutation for the Maximum Clique Problem”, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 2, pp: 192-200, April, 2005. © IEEE

  2. Jianyong Sun, Qingfu Zhang, Edward P. K. Tsang, “New Evolutionary Algorithm for Global Optimisation”, Information Sciences, Vol. 169, No. 3-4, pp: 249-262, Feburary, 2005. © Elsevier 

2004

  1. Qingfu Zhang, Jianyong Sun, Edward P. K. Tsang and John Ford, “Hybrid Estimation of Distribution Algorithm for Global Optimsation”, Engineering Computations, Vol. 21, No. 1, pp: 91-107 2004.

  2. Qingfu Zhang, “On the Convergence of A Factorized Distribution Algorithm with Truncation Selection”, Complexity, Vol. 9, No. 4, pp: 17-23, April, 2004. © Wiley

  3. Qingfu Zhang, Heinz M??hlenbein, “On the Convergence of a Class of Estimation of Distribution Algorithms”, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 2, pp: 127-136, April, 2004. © IEEE

  4. Qingfu Zhang, “On Stability of Fixed Points of Limit Models of Univariate Marginal Distribution Algorithm and Factorized Distribution Algorithm”, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 1, pp: 80-93, February, 2004. © IEEE 

2003

  1. Qingfu Zhang, “On the Discrete-time Dynamics of a PCA Learning Algorithm”, Neurocomputing, Vol. 55, No. 3-4, pp: 761-769, October, 2003. © Elsevier 

2000

  1. Qingfu Zhang, Yiu-Wing Leung, “A Class of Learning Algorithms for Principal Component Analysis and Minor Component Analysis”, IEEE Transactions on Neural Networks and Learning System, Vol. 11, No. 1, pp: 200-204, January, 2000. © IEEE 

1999

  1. Qingfu Zhang, Yiu-Wing Leung, “An Orthogonal Genetic Algorithm for Multimedia Multicast Routing”, IEEE Transactions on Evolutionary Computation, Vol. 3, No. 1, pp: 53-62, April, 1999. © IEEE 

1998

  1. Qingfu Zhang, Yiu-Wing Leung, “Convergence of a Hebbian-Type Learning Algorithm”, IEEE Transactions on Circuit and Systems, No.12, Vol.15, December, 1998. © IEEE 

1997

  1. Qingfu Zhang, Yiu-Wing Leung, “Dynamical system for solving complex eigenvalue problems”, IEE Proceedings – Control Theory and Applications, Vol. 144, No. 5, pp: 455-458, September, 1997. © IEEE 

1995

  1. Qingfu Zhang, Yiu-Wing Leung, “Energy Function for the One-unit Oja Algorithm”, IEEE Transactions on Neural Networks and Learning System, Vol. 6, No. 5, pp: 1291-1293, September, 1995. © IEEE

  2. Qingfu Zhang, Zheng Bao, “Dynamical System for Computing the Eigenvectors associated with the Largest Eigenvalue of a Positive Definite Matrix”, IEEE Transactions on Neural Networks and Learning System, Vol. 6, No. 3, May, 1995. © IEEE