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Linjun He
Linjun He
在 u.nus.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
A survey on the hypervolume indicator in evolutionary multiobjective optimization
K Shang, H Ishibuchi, L He, LM Pang
IEEE Transactions on Evolutionary Computation 25 (1), 1-20, 2020
2282020
A survey of normalization methods in multiobjective evolutionary algorithms
L He, H Ishibuchi, A Trivedi, H Wang, Y Nan, D Srinivasan
IEEE Transactions on Evolutionary Computation 25 (6), 1028-1048, 2021
552021
Regular Pareto front shape is not realistic
H Ishibuchi, L He, K Shang
2019 IEEE Congress on Evolutionary Computation (CEC), 2034-2041, 2019
442019
A 0.6-V minimum-supply, 23.5 ppm/° C subthreshold CMOS voltage reference with 0.45% variation coefficient
C Huang, C Zhan, L He, L Wang, Y Nan
IEEE Transactions on Circuits and Systems II: Express Briefs 65 (10), 1290-1294, 2018
392018
Dynamic normalization in MOEA/D for multiobjective optimization
L He, H Ishibuchi, A Trivedi, D Srinivasan
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
182020
Simultaneous use of two normalization methods in decomposition-based multi-objective evolutionary algorithms
L He, K Shang, H Ishibuchi
Applied Soft Computing 92, 106316, 2020
152020
A low-power high-PSRR CMOS voltage reference with active-feedback frequency compensation for IoT applications
L Wang, C Zhan, L He, J Tang, G Wang, Y Liu, G Li
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2018
142018
Dual-fuzzy-classifier-based evolutionary algorithm for expensive multiobjective optimization
J Zhang, L He, H Ishibuchi
IEEE Transactions on Evolutionary Computation 27 (6), 1575-1589, 2022
132022
A Study of the Naïve Objective Space Normalization Method in MOEA/D
L He, Y Nan, K Shang, H Ishibuchi
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1834-1840, 2019
122019
Reverse strategy for non-dominated archiving
Y Nan, K Shang, H Ishibuchi, L He
IEEE Access 8, 119458-119469, 2020
112020
Relation between objective space normalization and weight vector scaling in decomposition-based multiobjective evolutionary algorithms
L He, K Shang, Y Nan, H Ishibuchi, D Srinivasan
IEEE Transactions on Evolutionary Computation 27 (5), 1177-1191, 2022
92022
A classification-assisted environmental selection strategy for multiobjective optimization
J Zhang, H Ishibuchi, L He
Swarm and Evolutionary Computation 71, 101074, 2022
72022
Hypervolume-Based Cooperative Coevolution with Two Reference Points for Multi-Objective Optimization
LM Pang, H Ishibuchi, L He, K Shang, L Chen
IEEE Transactions on Evolutionary Computation, 2023
62023
An improved local search method for large-scale hypervolume subset selection
Y Nan, K Shang, H Ishibuchi, L He
IEEE Transactions on Evolutionary Computation 27 (6), 1690-1704, 2022
62022
Improving local search hypervolume subset selection in evolutionary multi-objective optimization
Y Nan, K Shang, H Ishibuchi, L He
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021
62021
Metric for evaluating normalization methods in multiobjective optimization
L He, H Ishibuchi, D Srinivasan
Proceedings of the Genetic and Evolutionary Computation Conference, 403-411, 2021
62021
Another difficulty of inverted triangular Pareto fronts for decomposition-based multi-objective algorithms
L He, A Camacho, H Ishibuchi
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 498-506, 2020
62020
A 0.5V 46.2ppm°C CMOS Voltage Reference Based on Compensated ΔVTH with Wide Temperature Range and High PSRR
L He, C Zhan, Y Nan, N Zhang, L Wang, G Li
2018 16th IEEE International New Circuits and Systems Conference (NEWCAS), 66-69, 2018
52018
Effects of corner weight vectors on the performance of decomposition-based multiobjective algorithms
L He, A Camacho, Y Nan, A Trivedi, H Ishibuchi, D Srinivasan
Swarm and Evolutionary Computation 79, 101305, 2023
42023
A two-stage hypervolume contribution approximation method based on R2 indicator
Y Nan, K Shang, H Ishibuchi, L He
2021 IEEE Congress on Evolutionary Computation (CEC), 2468-2475, 2021
42021
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