Items where Author is "Zhang, Qingfu"

Wang, Bing-Chuan and Li, Han-Xiong and Zhang, Qingfu and Wang, Yong (2021) Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization. IEEE Transactions on Systems Man and Cybernetics: Systems, 51 (1). pp. 574-587. DOI https://doi.org/10.1109/tsmc.2018.2876335

Cai, Xinye and Yang, Zhixiang and Fan, Zhun and Zhang, Qingfu (2017) Decomposition-Based-Sorting and Angle-Based-Selection for Evolutionary Multiobjective and Many-Objective Optimization. IEEE Transactions on Cybernetics, 47 (9). pp. 2824-2837. DOI https://doi.org/10.1109/tcyb.2016.2586191

Li, Ke and Deb, Kalyanmoy and Zhang, Qingfu and Zhang, Qiang (2017) Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization. IEEE Transactions on Cybernetics, 47 (9). pp. 2838-2849. DOI https://doi.org/10.1109/tcyb.2016.2621008

Wang, Zhenkun and Zhang, Qingfu and Li, Hui and Ishibuchi, Hisao and Jiao, Licheng (2017) On the use of two reference points in decomposition based multiobjective evolutionary algorithms. Swarm and Evolutionary Computation, 34. pp. 89-102. DOI https://doi.org/10.1016/j.swevo.2017.01.002

Li, Hui and Zhang, Qingfu and Deng, Jingda (2017) Biased Multiobjective Optimization and Decomposition Algorithm. IEEE Transactions on Cybernetics, 47 (1). pp. 52-66. DOI https://doi.org/10.1109/tcyb.2015.2507366

Wang, Rui and Zhang, Qingfu and Zhang, Tao (2016) Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods. IEEE Transactions on Evolutionary Computation, 20 (6). pp. 821-837. DOI https://doi.org/10.1109/tevc.2016.2521175

Zhang, Hu and Zhou, Aimin and Song, Shenmin and Zhang, Qingfu and Gao, Xiao-Zhi and Zhang, Jun (2016) A Self-Organizing Multiobjective Evolutionary Algorithm. IEEE Transactions on Evolutionary Computation, 20 (5). pp. 792-806. DOI https://doi.org/10.1109/tevc.2016.2521868

Wang, Handing and Zhang, Qingfu and Jiao, Licheng and Yao, Xin (2016) Regularity Model for Noisy Multiobjective Optimization. IEEE Transactions on Cybernetics, 46 (9). pp. 1997-2009. DOI https://doi.org/10.1109/tcyb.2015.2459137

Saxena, Dhish Kumar and Sinha, Arnab and Duro, Joao A and Zhang, Qingfu (2016) Entropy-Based Termination Criterion for Multiobjective Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation, 20 (4). pp. 485-498. DOI https://doi.org/10.1109/tevc.2015.2480780

Zhou, Yu and Kwong, Sam and Zhang, Qingfu and Wu, Mengyuan (2016) Adaptive patch-based sparsity estimation for image via MOEA/D. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016-07-24 - 2016-07-29.

Chen, Qin and Long, Bingxiang and Zhang, Qingfu (2016) Black-box expensive multiobjective optimization with adaptive in-fill rules. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016-07-24 - 2016-07-29.

Lyu, Yueming and Zhang, Qingfu and Wong, Ka-Chun (2016) A cone order sequence based multi-objective evolutionary algorithm. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016-07-24 - 2016-07-29.

Lin, Xi and Zhang, Qingfu and Kwong, Sam (2016) A decomposition based multiobjective evolutionary algorithm with classification. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016-07-24 - 2016-07-29.

Liu, Hai-Lin and Chen, Lei and Zhang, Qingfu and Deb, Kalyanmoy (2016) An evolutionary many-objective optimisation algorithm with adaptive region decomposition. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016-07-24 - 2016-07-29.

Li, Hui and Fan, Yuanyuan and Zhang, Qingfu and Xu, Zongben and Deng, Jingda (2016) A multi-phase multiobjective approach based on decomposition for sparse reconstruction. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016-07-24 - 2016-07-29.

Liu, Bo and Sun, Nan and Zhang, Qingfu and Grout, Vic and Gielen, Georges (2016) A surrogate model assisted evolutionary algorithm for computationally expensive design optimization problems with discrete variables. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016-07-24 - 2016-07-29.

Wang, Luping and Zhang, Qingfu and Zhou, Aimin and Gong, Maoguo and Jiao, Licheng (2016) Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Transactions on Evolutionary Computation, 20 (3). pp. 475-480. DOI https://doi.org/10.1109/tevc.2015.2457616

Wang, Zhenkun and Zhang, Qingfu and Zhou, Aimin and Gong, Maoguo and Jiao, Licheng (2016) Adaptive Replacement Strategies for MOEA/D. IEEE Transactions on Cybernetics, 46 (2). pp. 474-486. DOI https://doi.org/10.1109/tcyb.2015.2403849

Zhou, Aimin and Zhang, Qingfu (2016) Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation, 20 (1). pp. 52-64. DOI https://doi.org/10.1109/tevc.2015.2424251

Liu, Bo and Koziel, Slawomir and Zhang, Qingfu (2016) A multi-fidelity surrogate-model-assisted evolutionary algorithm for computationally expensive optimization problems. Journal of Computational Science, 12. pp. 28-37. DOI https://doi.org/10.1016/j.jocs.2015.11.004

Zhang, Xiao and Zhou, Yu and Zhang, Qingfu and Lee, Victor CS and Li, Minming (2016) Problem Specific MOEA/D for Barrier Coverage with Wireless Sensors. IEEE Transactions on Cybernetics, 47 (11). pp. 1-12. DOI https://doi.org/10.1109/tcyb.2016.2585745

Zhou, Aimin and Sun, Jianyong and Zhang, Qingfu (2015) An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods. IEEE Transactions on Evolutionary Computation, 19 (6). pp. 807-822. DOI https://doi.org/10.1109/tevc.2014.2387433

Wang, Zhenkun and Zhang, Qingfu and Li, Hui (2015) Balancing Convergence and Diversity by Using Two Different Reproduction Operators in MOEA/D: Some Preliminary Work. In: 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2015-10-09 - 2015-10-12.

Li, Ke and Deb, Kalyanmoy and Zhang, Qingfu and Kwong, Sam (2015) An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition. IEEE Transactions on Evolutionary Computation, 19 (5). pp. 694-716. DOI https://doi.org/10.1109/tevc.2014.2373386

Li, Ke and Kwong, Sam and Zhang, Qingfu and Deb, Kalyanmoy (2015) Interrelationship-Based Selection for Decomposition Multiobjective Optimization. IEEE Transactions on Cybernetics, 45 (10). pp. 2076-2088. DOI https://doi.org/10.1109/tcyb.2014.2365354

Liao, Shengbin and Zhang, Qingfu (2015) A Multiutility Framework With Application for Studying Tradeoff Between Utility and Lifetime in Wireless Sensor Networks. IEEE Transactions on Vehicular Technology, 64 (10). pp. 4701-4711. DOI https://doi.org/10.1109/tvt.2014.2372793

Gong, Yue-Jiao and Chen, Wei-Neng and Zhan, Zhi-Hui and Zhang, Jun and Li, Yun and Zhang, Qingfu and Li, Jing-Jing (2015) Distributed evolutionary algorithms and their models: A survey of the state-of-the-art. Applied Soft Computing, 34. pp. 286-300. DOI https://doi.org/10.1016/j.asoc.2015.04.061

Zhu, Zexuan and Xiao, Jun and Li, Jian-Qiang and Wang, Fangxiao and Zhang, Qingfu (2015) Global path planning of wheeled robots using multi-objective memetic algorithms. Integrated Computer-Aided Engineering, 22 (4). pp. 387-404. DOI https://doi.org/10.3233/ica-150498

Li, Ke and Deb, Kalyanmoy and Zhang, Qingfu (2015) Evolutionary multiobjective optimization with hybrid selection principles. In: 2015 IEEE Congress on Evolutionary Computation (CEC), 2015-05-25 - 2015-05-28.

Li, Hui and Ding, Min and Deng, Jingda and Zhang, Qingfu (2015) On the use of random weights in MOEA/D. In: 2015 IEEE Congress on Evolutionary Computation (CEC), 2015-05-25 - 2015-05-28.

Feng, Zhiwei and Zhang, Qingbin and Zhang, Qingfu and Tang, Qiangang and Yang, Tao and Ma, Yang (2015) A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization. Journal of Global Optimization, 61 (4). pp. 677-694. DOI https://doi.org/10.1007/s10898-014-0210-2

Rubio-Largo, Álvaro and Zhang, Qingfu and Vega-Rodríguez, Miguel A (2015) Multiobjective evolutionary algorithm based on decomposition for 3-objective optimization problems with objectives in different scales. Soft Computing, 19 (1). pp. 157-166. DOI https://doi.org/10.1007/s00500-014-1239-3

Duro, João A and Kumar Saxena, Dhish and Deb, Kalyanmoy and Zhang, Qingfu (2014) Machine learning based decision support for many-objective optimization problems. Neurocomputing, 146. pp. 30-47. DOI https://doi.org/10.1016/j.neucom.2014.06.076

Rubio-Largo, Álvaro and Zhang, Qingfu and Vega-Rodríguez, Miguel A (2014) A multiobjective evolutionary algorithm based on decomposition with normal boundary intersection for traffic grooming in optical networks. Information Sciences, 289 (1). pp. 91-116. DOI https://doi.org/10.1016/j.ins.2014.08.004

Alhindi, Ahmad and Zhang, Qingfu and Tsang, Edward (2014) Hybridisation of decomposition and GRASP for combinatorial multiobjective optimisation. In: 2014 14th UK Workshop on Computational Intelligence (UKCI), 2014-09-08 - 2014-09-10.

Alhindi, Ahmad and Zhang, Qingfu (2014) MOEA/D with Tabu Search for multiobjective permutation flow shop scheduling problems. In: 2014 IEEE Congress on Evolutionary Computation (CEC), 2014-07-06 - 2014-07-11.

Li, Yexing and Cai, Xinye and Fan, Zhun and Zhang, Qingfu (2014) An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimization. In: 2014 IEEE Congress on Evolutionary Computation (CEC), 2014-07-06 - 2014-07-11.

Wang, Zhenkun and Zhang, Qingfu and Gong, Maoguo and Zhou, Aimin (2014) A replacement strategy for balancing convergence and diversity in MOEA/D. In: 2014 IEEE Congress on Evolutionary Computation (CEC), 2014-07-06 - 2014-07-11.

Liu, Hai-Lin and Gu, Fangqing and Zhang, Qingfu (2014) Decomposition of a Multiobjective Optimization Problem Into a Number of Simple Multiobjective Subproblems. IEEE Transactions on Evolutionary Computation, 18 (3). pp. 450-455. DOI https://doi.org/10.1109/tevc.2013.2281533

Liu, Bo and Zhang, Qingfu and Gielen, Georges GE (2014) A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems. IEEE Transactions on Evolutionary Computation, 18 (2). pp. 180-192. DOI https://doi.org/10.1109/tevc.2013.2248012

Sun, Jianyong and Zhang, Qingfu and Yao, Xin (2014) Meta-Heuristic Combining Prior Online and Offline Information for the Quadratic Assignment Problem. IEEE Transactions on Cybernetics, 44 (3). pp. 429-444. DOI https://doi.org/10.1109/tcyb.2013.2256892

Li, Ke and Fialho, Alvaro and Kwong, Sam and Zhang, Qingfu (2014) Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Transactions on Evolutionary Computation, 18 (1). pp. 114-130. DOI https://doi.org/10.1109/tevc.2013.2239648

Zhao, Xinchao and Lin, Wenqiao and Zhang, Qingfu (2014) Enhanced particle swarm optimization based on principal component analysis and line search. Applied Mathematics and Computation, 229. pp. 440-456. DOI https://doi.org/10.1016/j.amc.2013.12.068

Wang, Yong and Cai, Zixing and Zhang, Qingfu (2012) Enhancing the search ability of differential evolution through orthogonal crossover. Information Sciences, 185 (1). pp. 153-177. DOI https://doi.org/10.1016/j.ins.2011.09.001

Zhou, Aimin and Qu, Bo-Yang and Li, Hui and Zhao, Shi-Zheng and Suganthan, Ponnuthurai Nagaratnam and Zhang, Qingfu (2011) Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm and Evolutionary Computation, 1 (1). pp. 32-49. DOI https://doi.org/10.1016/j.swevo.2011.03.001

Wang, Yong and Cai, Zixing and Zhang, Qingfu (2011) Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters. IEEE Transactions on Evolutionary Computation, 15 (1). pp. 55-66. DOI https://doi.org/10.1109/tevc.2010.2087271

Zhang, Qingfu and Li, Hui and Maringer, Dietmar and Tsang, Edward (2010) MOEA/D with NBI-style Tchebycheff approach for portfolio management. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.

Hasan, Bashar Awwad Shiekh and Gan, John Q and Zhang, Qingfu (2010) Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.

Konstantinidis, Andreas and Charalambous, Christoforos and Zhou, Aimin and Zhang, Qingfu (2010) Multi-objective mobile agent-based Sensor Network Routing using MOEA/D. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.

Tairan, Nasser and Zhang, Qingfu (2010) Population-Based Guided Local Search: Some preliminary experimental results. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.

Liu, Bo and Fernandez, Francisco V and Zhang, Qingfu and Pak, Murat and Sipahi, Suha and Gielen, Georges (2010) An enhanced MOEA/D-DE and its application to multiobjective analog cell sizing. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.

Zhou, Aimin and Zhang, Qingfu (2010) A surrogate-assisted evolutionary algorithm for minimax optimization. In: 2010 IEEE Congress on Evolutionary Computation (CEC), 2010-07-18 - 2010-07-23.

Liu, Wudong and Zhang, Qingfu and Tsang, Edward and Virginas, Botond (2009) Fuzzy clustering based Gaussian Process Model for large training set and its application in expensive evolutionary optimization. In: 2009 IEEE Congress on Evolutionary Computation (CEC), 2009-05-18 - 2009-05-21.

Brownlee, Alexander EI and McCall, John AW and Shakya, Siddartha K and Zhang, Qingfu (2009) Structure learning and optimisation in a Markov-network based estimation of distribution algorithm. In: 2009 IEEE Congress on Evolutionary Computation (CEC), 2009-05-18 - 2009-05-21.

Konstantinidis, Andreas and Zhang, Qingfu and Yang, Kun (2009) A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor Networks. In: 2009 IEEE Congress on Evolutionary Computation (CEC), 2009-05-18 - 2009-05-21.

Zhang, Qingfu and Liu, Wudong and Li, Hui (2009) The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances. In: 2009 IEEE Congress on Evolutionary Computation (CEC), 2009-05-18 - 2009-05-21.

Chen, Shih Hsin and Chang, Pei Chann and Zhang, Qingfu (2009) A self-guided genetic algorithm for flowshop scheduling problems. In: 2009 IEEE Congress on Evolutionary Computation (CEC), 2009-05-18 - 2009-05-21.

Peng, Wei and Zhang, Qingfu and Li, Hui (2009) Comparison between MOEA/D and NSGA-II on the Multi-Objective Travelling Salesman Problem. Studies in Computational Intelligence, 171. pp. 309-324. DOI https://doi.org/10.1007/978-3-540-88051-6_14

Zhou, Aimin and Zhang, Qingfu and Jin, Yaochu and Sendhoff, Bernhard (2008) Combination of EDA and DE for continuous biobjective optimization. In: 2008 IEEE Congress on Evolutionary Computation (CEC), 2008-06-01 - 2008-06-06.

Chang, Pei Chann and Chen, Shih Hsin and Zhang, Qingfu and Lin, Jun Lin (2008) MOEA/D for flowshop scheduling problems. In: 2008 IEEE Congress on Evolutionary Computation (CEC), 2008-06-01 - 2008-06-06.

Meng, Deyu and Leung, Yee and Xu, Zongben and Fung, Tung and Zhang, Qingfu (2008) Improving geodesic distance estimation based on locally linear assumption. Pattern Recognition Letters, 29 (7). pp. 862-870. DOI https://doi.org/10.1016/j.patrec.2008.01.005

Zhou, Aimin and Zhang, Qingfu and Jin, Yaochu (2008) CES-485 Approximating the Set of Pareto Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm. Technical Report. CES-485, University of Essex, Colchester.

Konstantinidis, Andreas and Yang, K and Zhang, Qingfu (2008) An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks. In: IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference, 2008-11-30 - 2008-12-04.

Chen, Shih-Hsin and Chang, Pei-Chann and Zhang, Qingfu (2008) Self-Guided Genetic Algorithm. In: UNSPECIFIED, ? - ?.

Peng, Wei and Zhang, Qingfu and Li, Hui (2007) CES-478 Comparison between MOEA/D and NSGA-II on the Multiobjective Travelling Salesman Problem. Technical Report. CES-478, University of Essex, Colchester.

Salhi, Abdellah and Rodríguez, José Antonio Vázquez and Zhang, Qingfu (2007) An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem. In: GECCO07: Genetic and Evolutionary Computation Conference, ? - ?.