Lie Meng Pang
Orcid: 0000-0001-7037-1630
According to our database1,
Lie Meng Pang
authored at least 46 papers
between 2013 and 2023.
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Bibliography
2023
Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition.
IEEE Trans. Cybern., November, 2023
Benchmarking large-scale subset selection in evolutionary multi-objective optimization.
Inf. Sci., April, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
2022
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.
CoRR, 2022
Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier].
IEEE Comput. Intell. Mag., 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Difficulties in fair performance comparison of multiobjective evolutionary algorithms.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
IEEE Trans. Fuzzy Syst., 2021
IEEE Trans. Evol. Comput., 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2021
Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets.
CoRR, 2020
Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization.
CoRR, 2020
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology.
IEEE Access, 2020
NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems.
IEEE Access, 2020
Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks.
IEEE Access, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
2017
Application of self-organizing map to failure modes and effects analysis methodology.
Neurocomputing, 2017
2016
IEEE Trans. Fuzzy Syst., 2016
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2013, 2013
A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2013, 2013