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ORCIDJingda Deng
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2020 – today
- 2024
[j7]Jingda Deng
, Qingfu Zhang, Jianyong Sun, Hui Li:
A Fast Exact Algorithm for Computing the Hypervolume Contributions in 4-D Space. IEEE Trans. Evol. Comput. 28(4): 876-890 (2024)- 2022
- [j6]Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng:
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. 52(8): 8326-8339 (2022) - 2021
- [c6]Zhenkun Wang, Jingda Deng, Qingfu Zhang, Qite Yang:
On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D. EMO 2021: 413-423 - 2020
- [j5]Jingda Deng, Qingfu Zhang:
Combining Simple and Adaptive Monte Carlo Methods for Approximating Hypervolume. IEEE Trans. Evol. Comput. 24(5): 896-907 (2020)
2010 – 2019
- 2019
- [j4]Hui Li, Jingda Deng, Qingfu Zhang, Jianyong Sun:
Adaptive Epsilon dominance in decomposition-based multiobjective evolutionary algorithm. Swarm Evol. Comput. 45: 52-67 (2019) - [j3]Jingda Deng, Qingfu Zhang:
Approximating Hypervolume and Hypervolume Contributions Using Polar Coordinate. IEEE Trans. Evol. Comput. 23(5): 913-918 (2019) - [c5]Zhenhua Li, Jingda Deng, Weifeng Gao, Qingfu Zhang, Hai-Lin Liu:
An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension. CEC 2019: 936-943 - 2018
- [j2]Hui Li, Qingfu Zhang, Jingda Deng, Zong-Ben Xu:
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1716-1731 (2018) - 2017
- [j1]Hui Li, Qingfu Zhang, Jingda Deng:
Biased Multiobjective Optimization and Decomposition Algorithm. IEEE Trans. Cybern. 47(1): 52-66 (2017) - [c4]Jingda Deng, Qingfu Zhang, Hui Li:
On the Use of Dynamic Reference Points in HypE. SEAL 2017: 122-133 - 2016
- [c3]Hui Li, Yuanyuan Fan, Qingfu Zhang, Zongben Xu, Jingda Deng:
A multi-phase multiobjective approach based on decomposition for sparse reconstruction. CEC 2016: 601-608 - 2015
- [c2]Hui Li, Min Ding, Jingda Deng, Qingfu Zhang:
On the use of random weights in MOEA/D. CEC 2015: 978-985 - 2014
- [c1]Hui Li, Qingfu Zhang, Jingda Deng:
Multiobjective test problems with complicated Pareto fronts: Difficulties in degeneracy. IEEE Congress on Evolutionary Computation 2014: 2156-2163
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