Lie Meng Pang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 52

Top Topics

Subset Selection

Evolutionary Algorithm

Reference Points

Top Venues

Publications

Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems. CEC (2024)
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. GECCO (2024)
Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Interactive Final Solution Selection in Multi-Objective Optimization. CEC (2024)
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. GECCO (2024)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive. GECCO Companion (2024)
Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. GECCO (2024)
Lie Meng Pang, Hisao Ishibuchi, Linjun He, Ke Shang, Longcan Chen
Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization. IEEE Trans. Evol. Comput. 28 (4) (2024)
Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. SSCI (2023)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. GECCO (2023)
Lie Meng Pang, Yang Nan, Hisao Ishibuchi
Partially Degenerate Multi-objective Test Problems. EMO (2023)
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. SSCI (2023)
Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang
Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. SMC (2023)
Hisao Ishibuchi, Yang Nan, Lie Meng Pang
Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. EMO (2023)
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
Benchmarking large-scale subset selection in evolutionary multi-objective optimization. Inf. Sci. 622 (2023)
Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. GECCO (2023)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Cybern. 53 (11) (2023)
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. SSCI (2023)
Lie Meng Pang, Yang Nan, Hisao Ishibuchi
How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization. SMC (2023)
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi
New Solution Creation Operator in MOEA/D for Faster Convergence. PPSN (2) (2022)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Difficulties in fair performance comparison of multiobjective evolutionary algorithms. GECCO Companion (2022)
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. CoRR (2022)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier]. IEEE Comput. Intell. Mag. 17 (1) (2022)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 26 (6) (2022)
Hisao Ishibuchi, Yiming Peng, Lie Meng Pang
Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. CEC (2022)
Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 25 (1) (2021)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems. EMO (2021)
Cheng Gong, Lie Meng Pang, Hisao Ishibuchi
Initial Population Generation Method and its Effects on MOEA/D. SSCI (2021)
Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng
Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. GECCO (2021)
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization. SSCI (2021)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems. CEC (2021)
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. CEC (2021)
Lie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen
Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization. SMC (2021)
Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan
Reference Point Specification for Greedy Hypervolume Subset Selection. SMC (2021)
Te Zhang, Zhaohong Deng, Hisao Ishibuchi, Lie Meng Pang
Robust TSK Fuzzy System Based on Semisupervised Learning for Label Noise Data. IEEE Trans. Fuzzy Syst. 29 (8) (2021)
Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang
Improving the Efficiency of R2HCA-EMOA. EMO (2021)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization. SMC (2020)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. ECAI (2020)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets. CoRR (2020)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Algorithm Configurations of MOEA/D with an Unbounded External Archive. SMC (2020)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Algorithm Configurations of MOEA/D with an Unbounded External Archive. CoRR (2020)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization. CoRR (2020)
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms. SMC (2020)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks. IEEE Access 8 (2020)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks. CoRR (2020)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems. IEEE Access 8 (2020)
Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang
Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection. SMC (2020)
Lie Meng Pang, Kai Meng Tay, Chee Peng Lim, Hisao Ishibuchi
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. IEEE Access 8 (2020)
Weiduo Liao, Ke Shang, Lie Meng Pang, Hisao Ishibuchi
Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA. SSCI (2019)
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm. SSCI (2019)
Wui Lee Chang, Lie Meng Pang, Kai Meng Tay
Application of self-organizing map to failure modes and effects analysis methodology. Neurocomputing 249 (2017)
Lie Meng Pang, Kai Meng Tay, Chee Peng Lim
Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System. IEEE Trans. Fuzzy Syst. 24 (6) (2016)
Yi Wen Kerk, Lie Meng Pang, Kai Meng Tay, Chee Peng Lim
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test. FUZZ-IEEE (2016)
Lie Meng Pang, Kai Meng Tay, Chee Peng Lim
A new monotonicity index for fuzzy rule-based systems. FUZZ-IEEE (2014)
Kai Meng Tay, Tze Ling Jee, Lie Meng Pang, Chee Peng Lim
A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems. FUZZ-IEEE (2013)
Kai Meng Tay, Lie Meng Pang, Tze Ling Jee, Chee Peng Lim
A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems. FUZZ-IEEE (2013)