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Lie Meng Pang
Lie Meng Pang
Southern University of Science and Technology
Verified email at sustech.edu.cn
Title
Cited by
Cited by
Year
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
1752020
Application of self-organizing map to failure modes and effects analysis methodology
WL Chang, LM Pang, KM Tay
Neurocomputing 249, 314-320, 2017
432017
Difficulties in fair performance comparison of multiobjective evolutionary algorithms
H Ishibuchi, LM Pang, K Shang
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
382022
Monotone fuzzy rule relabeling for the zero-order TSK fuzzy inference system
LM Pang, KM Tay, CP Lim
IEEE Transactions on Fuzzy systems 24 (6), 1455-1463, 2016
362016
NSGA-II with simple modification works well on a wide variety of many-objective problems
LM Pang, H Ishibuchi, K Shang
IEEE Access 8, 190240-190250, 2020
342020
A new framework of evolutionary multi-objective algorithms with an unbounded external archive
H Ishibuchi, LM Pang, K Shang
Authorea Preprints, 2023
322023
Robust TSK fuzzy system based on semisupervised learning for label noise data
T Zhang, Z Deng, H Ishibuchi, LM Pang
IEEE Transactions on Fuzzy Systems 29 (8), 2145-2157, 2020
122020
Benchmarking large-scale subset selection in evolutionary multi-objective optimization
K Shang, T Shu, H Ishibuchi, Y Nan, LM Pang
Information Sciences 622, 755-770, 2023
112023
Decomposition-based multi-objective evolutionary algorithm design under two algorithm frameworks
LM Pang, H Ishibuchi, K Shang
IEEE Access 8, 163197-163208, 2020
102020
Use of two penalty values in multiobjective evolutionary algorithm based on decomposition
LM Pang, H Ishibuchi, K Shang
IEEE Transactions on Cybernetics, 2022
92022
Algorithm configurations of MOEA/D with an unbounded external archive
LM Pang, H Ishibuchi, K Shang
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
92020
Solution subset selection for final decision making in evolutionary multi-objective optimization
H Ishibuchi, LM Pang, K Shang
arXiv preprint arXiv:2006.08156, 2020
92020
Offline automatic parameter tuning of MOEA/D using genetic algorithm
LM Pang, H Ishibuchi, K Shang
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1889-1897, 2019
92019
Parallel implementation of moea/d with parallel weight vectors for feature selection
W Liao, H Ishibuchi, LM Pang, K Shang
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
72020
Population size specification for fair comparison of multi-objective evolutionary algorithms
H Ishibuchi, LM Pang, K Shang
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
52020
A new framework with similarity reasoning and monotone fuzzy rule relabeling for fuzzy inference systems
KM Tay, LM Pang, TL Jee, CP Lim
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013
52013
Counterintuitive experimental results in evolutionary large-scale multiobjective optimization
LM Pang, H Ishibuchi, K Shang
IEEE Transactions on Evolutionary Computation 26 (6), 1609-1616, 2022
42022
Using a genetic algorithm-based hyper-heuristic to tune MOEA/D for a set of various test problems
LM Pang, H Ishibuchi, K Shang
2021 IEEE Congress on Evolutionary Computation (CEC), 1486-1494, 2021
42021
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test
YW Kerk, LM Pang, KM Tay, CP Lim
2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), 94-101, 2016
42016
A new monotonicity index for fuzzy rule-based systems
LM Pang, KM Tay, CP Lim
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1566-1570, 2014
42014
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