Items where Author is "Li, Hui"

Article

Lee, James J and Wedow, Robbee and Okbay, Aysu and Kong, Edward and Maghzian, Omeed and Zacher, Meghan and Nguyen-Viet, Tuan Anh and Bowers, Peter and Sidorenko, Julia and Karlsson Linnér, Richard and Fontana, Mark Alan and Kundu, Tushar and Lee, Chanwook and Li, Hui and Li, Ruoxi and Royer, Rebecca and Timshel, Pascal N and Walters, Raymond K and Willoughby, Emily A and Yengo, Loïc and Alver, Maris and Bao, Yanchun and Clark, David W and Day, Felix R and Furlotte, Nicholas A and Joshi, Peter K and Kemper, Kathryn E and Kleinman, Aaron and Langenberg, Claudia and Mägi, Reedik and Trampush, Joey W and Verma, Shefali Setia and Wu, Yang and Lam, Max and Zhao, Jing Hua and Zheng, Zhili and Boardman, Jason D and Campbell, Harry and Freese, Jeremy and Harris, Kathleen Mullan and Hayward, Caroline and Herd, Pamela and Kumari, Meena and Lencz, Todd and Luan, Jian an and Malhotra, Anil K and Metspalu, Andres and Milani, Lili and Ong, Ken K and Perry, John RB and Porteous, David J and Ritchie, Marylyn D and Smart, Melissa C and Smith, Blair H and Tung, Joyce Y and Wareham, Nicholas J and Wilson, James F and Beauchamp, Jonathan P and Conley, Dalton C and Esko, Tõnu and Lehrer, Steven F and Magnusson, Patrik KE and Oskarsson, Sven and Pers, Tune H and Robinson, Matthew R and Thom, Kevin and Watson, Chelsea and Chabris, Christopher F and Meyer, Michelle N and Laibson, David I and Yang, Jian and Johannesson, Magnus and Koellinger, Philipp D and Turley, Patrick and Visscher, Peter M and Benjamin, Daniel J and Cesarini, David (2018) Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50 (8). pp. 1112-1121. DOI https://doi.org/10.1038/s41588-018-0147-3

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

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

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

Monograph

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.

Conference or Workshop Item

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.

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, 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.

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.

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.