Conference Publications

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2013
  1. Aimin Zhou, Qingfu Zhang, Guixu Zhang, “Approximation Model Guided Selection for Evolutionary Multiobjective Optimization”, in EMO’13: Proc of the 7th International Conference of Evolutionary Multi-Criteria Optimization, pp: 398-412, 2013.

  2. Alvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodríguez, “MOEA/D for traffic grooming in WDM optical networks”, in GECCO’13: Proc. of the 15th Annual Conference on Genetic and Evolutionary Computation, pp: 663-670, 2013

2012
  1. Bo Liu, Qingfu Zhang, Francisco V. Fernández, Georges G. E. Gielen, “Self-adaptive lower confidence bound: A new general and effective prescreening method for Gaussian Process surrogate model assisted evolutionary algorithms”, in CEC’12: Proc. of the 2012 IEEE Congress on Evolutionary Computation, pp: 1-6, 2012.

  2. Aimin Zhou, Qingfu Zhang, Guixu Zhang, “A multiobjective evolutionary algorithm based on decomposition and probability model”, in CEC’12: Proc. of the 2012 IEEE Congress on Evolutionary Computation, pp: 1-8, 2012.

  3. Wei Peng, Qingfu Zhang, “Network Topology Planning Using MOEAD with Objective-Guided Operators”, in PPSN’12: Proc. of the 12th International Conference on Parallel Problem Solving from Nature/, pp: 62-71, 2012.

  4. Hui Li, Xiaolei Su, Zongben Xu, Qingfu Zhang, “MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems”, in PPSN’12: Proc. of the 12th International Conference on Parallel Problem Solving from Nature, pp: 93-101, 2012.

2011
  1. Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano, “On the limits of effectiveness in estimation of distribution algorithms”, in CEC’11: Proc. of the 2011 IEEE Congress on Evolutionary Computation, pp: 1573-1580, 2011.

  2. Dhish Kumar Saxena, Qingfu Zhang, João A. Duro, Ashutosh Tiwari, “Framework for Many-Objective Test Problems with Both Simple and Complicated Pareto-Set Shapes”, in EMO’11: Proc of the 6th International Conference of Evolutionary Multi-Criteria Optimization, pp: 197-211, 2011.

  3. Jingjing Ma, Yanhui Wang, Maoguo Gong, Licheng Jiao, Qingfu Zhang, “Spatio-temporal data evolutionary clustering based on MOEA/D”, in GECCO’11: Proc. of the 13th Annual Conference on Genetic and Evolutionary Computation, pp: 85-86, 2011.

  4. Nasser Tairan, Qingfu Zhang, “P-GLS-II: an enhanced version of the population-based guided local search”, in GECCO’11: Proc. of the 13th Annual Conference on Genetic and Evolutionary Computation, pp: 537-544, 2011.

  5. Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang, “Interactive MOEA/D for multi-objective decision making”, in GECCO’11: Proc. of the 13th Annual Conference on Genetic and Evolutionary Computation, pp: 2011.

  6. Juan José Durillo, Qingfu Zhang, Antonio J. Nebro, Enrique Alba, “Distribution of Computational Effort in Parallel MOEA/D”, in LION’5: Proc. of the 5th International Conference on Learning and Intelligent Optimization, pp: 488-502, 2011.

2010
  1. Bashar Awwad Shiekh Hasan, John Q. Gan, Qingfu Zhang, “Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results”, in CEC’10: Proc. of the 2010 IEEE Congress on Evolutionary Computation, pp: 1-6, 2010.

  2. Andreas Konstantinidis, Christoforos Charalambous, Aimin Zhou, Qingfu Zhang, “Multi-objective mobile agent-based Sensor Network Routing using MOEA/D”, in CEC’10: Proc. of the 2010 IEEE Congress on Evolutionary Computation, pp: 1-8, 2010.

  3. Bo Liu, Francisco V. Fernández, Qingfu Zhang, Murat Pak, Suha Sipahi, Georges G. E. Gielen, “An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing”. in CEC’10: Proc. of the 2010 IEEE Congress on Evolutionary Computation, pp: 1-7, 2010.

  4. Nasser Tairan, Qingfu Zhang, “Population-Based Guided Local Search: Some preliminary experimental results”. in CEC’10: Proc. of the 2010 IEEE Congress on Evolutionary Computation, pp: 1-5, 2010.

  5. Qingfu Zhang, Hui Li, Dietmar Maringer, Edward P. K. Tsang, “MOEA/D with NBI-style Tchebycheff approach for portfolio management”, in CEC’10: Proc. of the 2010 IEEE Congress on Evolutionary Computation, pp: 1-8, 2010.

  6. Aimin Zhou, Qingfu Zhang, “A surrogate-assisted evolutionary algorithm for minimax optimization”, in CEC’10: Proc. of the 2010 IEEE Congress on Evolutionary Computation, pp: 1-7, 2010.

2009
  1. Qingfu Zhang, Wudong Liu, Hui Li, “The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances”, in CEC’09: Proc. of the 2009 IEEE Congress on Evolutionary Computation, pp: 203-208, 2009.

  2. Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang, “Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization”, in CEC’09: Proc. of the 2009 IEEE Congress on Evolutionary Computation, pp: 209-216, 2009.

  3. Alexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang, “Structure learning and optimisation in a Markov-network based estimation of distribution algorithm”, in CEC’09: Proc. of the 2009 IEEE Congress on Evolutionary Computation, pp: 447-454, 2009.

  4. Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang, “A self-guided genetic algorithm for flowshop scheduling problems”, in CEC’09: Proc. of the 2009 IEEE Congress on Evolutionary Computation, pp: 471-478, 2009.

  5. Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas, “Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization”, in CEC’09: Proc. of the 2009 IEEE Congress on Evolutionary Computation, pp: 2411-2415, 2009.

  6. Andreas Konstantinidis, Qingfu Zhang, Kun Yang, “A Subproblem-dependent Heuristic in MOEAD for the Deployment and Power Assignment Problem in Wireless Sensor Networks”, in CEC’09: Proc. of the 2009 IEEE Congress on Evolutionary Computation/, pp: 2740-2747, 2009.

  7. Andreas Konstantinidis, Kun Yang, Qingfu Zhang, Fernando Gordejuela-Sanchez, “Multiobjective K-Connected Deployment and Power Assignment in WSNs Using Constraint Handling”, in GLOBECOM’09: in Proc. 2009 IEEE Conference on Global Telecommunications, pp: 1-6, 2009.

  8. Andreas Konstantinidis, Kun Yang, Qingfu Zhang, “Problem-Specific Encoding and Genetic Operation for a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks”, in ICC’09: Proc. of the 2009 IEEE International Conference on Communications, pp: 1-6, 2009.

  9. Yueheng Sun, Jianyong Sun, Qingfu Zhang, “An Evolutionary Approach for Survivable Network under SRLG Constraints”, in ICNC’09: Proc. of the 5th International Conference on Natural Computation, pp: 122-126, 2009.

2008
  1. Pei-Chann Chang, Shih-Hsin Chen, Qingfu Zhang, Jun-Lin Lin, “MOEA/D for flowshop scheduling problems”, in CEC’08: Proc. of the 2008 IEEE Congress on Evolutionary Computation, pp: 1433-1438, 2008.

  2. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, “Combination of EDA and DE for continuous biobjective optimization”, in CEC’08: Proc. of the 2008 IEEE Congress on Evolutionary Computation, pp: 1447-1454, 2008.

  3. Alexander E. I. Brownlee, John A. W. McCall, Qingfu Zhang, Deryck F. Brown, “Approaches to selection and their effect on fitness modelling in an Estimation of Distribution Algorithm”, in CEC’08: Proc. of the 2008 IEEE Congress on Evolutionary Computation, pp: 2621-2628, 2008.

  4. Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Botond Virginas, “Tchebycheff approximation in Gaussian Process model composition for multi-objective expensive black box”, in CEC’08: Proc. of the 2008 IEEE Congress on Evolutionary Computation, pp: 3060-3065, 2008.

  5. Andreas Konstantinidis, Kun Yang, Qingfu Zhang, “An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks”, in GLOBECOM’08: Proc. of the 2008 IEEE Global Telecommunications Conference, pp: 475-480, 2008.

  6. Wei Peng, Qingfu Zhang, “A Decomposition-based Multi-objective Particle Swarm Optimization Algorithm for Continuous Optimization Problems”, in GrC’08: Proc. of the 2008 IEEE Granular Computing, pp: 534-537, 2008.

  7. Shih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang, “Self-Guided Genetic Algorithm”, in ICIC’08: Proc. of the 4th International Conference on Intelligent Computing, pp: 292-299, 2008.

2007
  1. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, “Adaptivemodelling strategy for continuous multi-objective optimization”, in CEC’08: Proc. of the 2008 IEEE Congress on Evolutionary Computation, pp: 431-437, 2007.

  2. Abdellah Salhi, José Antonio Vázquez Rodríguez, Qingfu Zhang, “An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem”, in GECCO’07: Proc. of the 9th Annual Conference on Genetic and Evolutionary Computation, pp: 570-576, 2007.

  3. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang, “Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover”, in GECCO’07: Proc. of the 9th Annual Conference on Genetic and Evolutionary Computation, pp: 617-623, 2007.

  4. Wudong Liu, Qingfu Zhang, Edward P. K. Tsang, Cao Liu, Botond Virginas, “On the Performance of Metamodel Assisted MOEA/D”, in ISICA’07: Proc. of the 2nd International Symposium on Advances in Computation and Intelligence, pp: 547-557, 2007.

2006
  1. Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang, “Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization”, in EMO’06: Proc. of the 4th International Conference of Evolutionary Multi-Criteria Optimization, pp: 832-846, 2006.

  2. Andreas Konstantinidis, Qingfu Zhang, Kun Yang, Ian Henning, “Energy-aware Topology Control in Sensor Networks Using Modern Heuristics”, in GLOBECOM’06: in Proc. 2006 IEEE Conference on Global Telecommunications, pp: 1-5, 2006.

  3. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang, “Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping”, in PPSN’06: Proc. of the 9th International Conference on Parallel Problem Solving from Nature, pp: 443-452, 2006.

  4. Hui Li, Qingfu Zhang, “A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable Linkages”, in PPSN’06: Proc. of the 9th International Conference on Parallel Problem Solving from Nature, pp: 583-592, 2006.

  5. Jianyong Sun, Qingfu Zhang, Jin Li, Xin Yao, “A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design”, in SEAL’06: Proc. of the 6th International Conference on Simulated Evolution and Learning, pp: 905-912, 2006.

  6. Shumao Ou, Kun Yang, Qingfu Zhang, “An Efficient Runtime Offloading Approach for Pervasive Services”, in WCNC’06: Proc. of IEEE Wireless Communications & Networking Conference (WCNC), pp: 2229-2234, 2006.

  7. Qingfu Zhang Jianyong Sun, “Iterated Local Search with Guided Mutation”, in CEC’06: Proc. of the 2006 IEEE Congress on Evolutionary Computation, pp: 924-929, 2006.

  8. Hui Li, Qingfu Zhang, “A Decomposition Evolutionary Strategy for Bi-Objective Optimisation”, in AISB’06: Proc. of the 2006 Artificial Intelligence and the Simulation of Behaviour, pp: 1-5, 2006.

2005
  1. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe, “A model-based evolutionary algorithm for bi-objective optimization”, in CEC’05: Proc. of the 2005 IEEE Congress on Evolutionary Computation, pp: 2568-2575, 2005.

  2. J. Horacio Camacho, Abdellah Salhi, Qingfu Zhang, “A Graph Theoretic Approach to Key Equivalence”, in MICAI’05: Proc. of the 4th Mexican International Conference on Artificial Intelligence, pp: 524-533, 2005.

2004
  1. Hui Li, Qingfu Zhang, Edward P. K. Tsang, John A. Ford, “Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem”, in EvoCOP’04: Proc. of the 4th European Conference on Evolutionary Computation in Combinatorial Optimization, pp: 145-154, 2004.

  2. Jun He, Xin Yao, Qingfu Zhang, “To understand one-dimensional continuous fitness landscapes by drift analysis”, in CEC’04: Proc. of the 2004 IEEE Congress on Evolutionary Computation, pp: 1248-1253, 2004.

2003
  1. Qingfu Zhang, Jianyong Sun, Edward Tsang, John Ford, “Combination of Guided Local Search and Estimation of Distribution Algorithm for Solving Quadratic Assignment Problem”, in Proc. of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pp: 1-7, 2003.

2002
  1. Qingfu Zhang, Jianyong Sun, Edward Tsang, John Ford, “Estimation of distribution algorithm based on mixture: preliminary experimental results”, in UKCI’02: Proc. of the 2002 UK Workshop on Computational Intelligence, 2002.

2001
  1. Qingfu Zhang, “Evolutionary Algorithms With Experimental Design Technique”, in Advance in Fuzzy Systems and Evolutionary Computation, 2001.

2000
  1. Qingfu Zhang, Nigel M. Allinson and Hujun Yin, “Population optimisation algorithm based ICA”, in Proc. The 1st IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks, pp: 33-36, 2000.

  2. Qingfu Zhang, Hujun Yin, Nigel M. Allinson, “A Simplified ICA Based Denoising Method”, in IJCNN’00, Proc. of the 2000 IEEE-INNS-ENNS International Joint Conference on Neural Networks, pp: 479-482, 2000./

1996
  1. Shaoyan Wu, Qingfu Zhang, Huowang Chen, “A New Evolutionary Model Based on Family Eugenics: the First Results”, in CEC’96: Proc. of the 1996 IEEE Congress on Evolutionary Computation, pp: 350-355, 1996