Lie Meng Pang

86 papers A 11B 28C 4Journal 22Unranked 21
YearRankTypeTitle / Venue / Authors
2025 B conf
An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms.
IJCNN
Tianye Shu, Hisao Ishibuchi, Lie Meng Pang
2025 B conf
Dual Population-Based Objective Modification for Enhancing NSGA-II in Many-Objective Optimization.
SMC
Lie Meng Pang, Hisao Ishibuchi, Hemant Kumar Signh
2025 B conf
Effects of Unbounded External Archive on the Performance of Constrained Multiobjective Evolutionary Algorithms.
CEC
Yanyu Chen, Linfeng Zhu, Lie Meng Pang, Hisao Ishibuchi
2025 — conf
Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization.
EMO (1)
Lie Meng Pang, Hisao Ishibuchi, Yang Nan
2025 — conf
Fair Performance Comparison of Evolutionary Multi-Objective Algorithms.
GECCO Companion
Hisao Ishibuchi, Lie Meng Pang
2025 B conf
How to Choose Solutions for Applying Momentum in Evolutionary Multi-Objective Optimization.
SMC
Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025 B conf
Investigation of Training-free Metrics for Multi-objective Neural Architecture Search.
IJCNN
Tianye Shu, Hisao Ishibuchi, Andy Song, Yang Nan, Lie Meng Pang
2025 B conf
Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization.
CEC
Lie Meng Pang, Hisao Ishibuchi
2025 J jnl
Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization.
CoRR
Lie Meng Pang, Hisao Ishibuchi
2025 J jnl
MaNSGA-II: Many-Objective NSGA-II.
IEEE Trans. Emerg. Top. Comput. Intell.
Lie Meng Pang, Hisao Ishibuchi, Kalyanmoy Deb, Ke Shang
2025 — conf
Numerical Analysis of Pareto Set Modeling.
EMO (2)
Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2025 B conf
On the Quality of Large Non-dominated Archives.
CEC
Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2025 B conf
Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems.
CEC
Hisao Ishibuchi, Lie Meng Pang
2025 J jnl
Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems.
CoRR
Hisao Ishibuchi, Lie Meng Pang
2025 A conf
Optimal Distributions of Solutions for Maximizing the Minimum Crowding Distance for Two-Objective and Three-Objective Linear Pareto Fronts: Search Behavior Analysis of NSGA-II.
FOGA
Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2025 — conf
Performance Analysis of Constrained Evolutionary Multi-objective Optimization Algorithms on Artificial and Real-World Problems.
EMO (2)
Yang Nan, Hisao Ishibuchi, Lie Meng Pang
2025 A conf
Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems.
GECCO
Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025 B conf
Population Initialization for Evolutionary Multi-objective Optimization: A Short Review.
CEC
Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025 A conf
Scalable Multi-Modal Multi-Objective Test Problems with Respect to Decision Space Dimensionality and Pareto Set Dimensionality: High-Dimensional Manhattan Distance Minimization Problems.
FOGA
Hisao Ishibuchi, Tianye Shu, Lie Meng Pang
2025 A conf
Search Behavior Analysis of NSGA-III: Dominance-based and Decomposition-based Multi-objective Evolutionary Algorithm.
GECCO
Hisao Ishibuchi, Lie Meng Pang, Cheng Gong
2025 — conf
Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems.
PRICAI (4)
Ke Shang, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2025 — conf
Small Population Size is Enough in Many Cases with External Archives.
EMO (2)
Yang Nan, Hisao Ishibuchi, Lie Meng Pang
2025 J jnl
Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint.
IEEE Trans. Evol. Comput.
Ke Shang, Guotong Wu, Lie Meng Pang, Hisao Ishibuchi
2025 B conf
Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization.
IJCNN
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2025 — conf
Visual Explanations of Some Problematic Search Behaviors of Frequently-Used EMO Algorithms.
EMO (2)
Hisao Ishibuchi, Lie Meng Pang
2025 B conf
Visual Tradeoff Analysis between Decision Space Diversity and Objective Space Diversity: Use of DTLZ Test Problems as Multi-Modal Multi-Objective Optimization Problems.
SMC
Lie Meng Pang, Tianye Shu, Hisao Ishibuchi
2025 — conf
When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation.
GECCO Companion
Zhiji Cui, Zimin Liang, Lie Meng Pang, Hisao Ishibuchi, Miqing Li
2025 J jnl
When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation.
CoRR
Zhiji Cui, Zimin Liang, Lie Meng Pang, Hisao Ishibuchi, Miqing Li
2024 B conf
Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems.
CEC
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2024 — conf
Distance-Based Subset Selection With a Knee Point for Multi-Objective Optimization.
SCIS/ISIS
Lie Meng Pang, Hisao Ishibuchi
2024 A conf
Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum.
GECCO
Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2024 A conf
Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems.
GECCO
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024 J jnl
Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Lie Meng Pang, Hisao Ishibuchi, Linjun He, Ke Shang, Longcan Chen
2024 B conf
Interactive Final Solution Selection in Multi-Objective Optimization.
CEC
Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024 — conf
New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive.
GECCO Companion
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2024 A conf
Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations.
GECCO
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2024 — conf
Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms.
PPSN (4)
Lie Meng Pang, Hisao Ishibuchi, Yang Nan, Cheng Gong
2024 — conf
Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms.
PPSN (4)
Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2023 J jnl
Benchmarking large-scale subset selection in evolutionary multi-objective optimization.
Inf. Sci.
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2023 A conf
Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II.
GECCO
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2023 A conf
Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization.
GECCO
Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2023 B conf
Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms.
SMC
Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang
2023 — conf
Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts.
SSCI
Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2023 — conf
Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search.
SSCI
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2023 B conf
How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization.
SMC
Lie Meng Pang, Yang Nan, Hisao Ishibuchi
2023 — conf
Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization.
SSCI
Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang
2023 C conf
Partially Degenerate Multi-objective Test Problems.
EMO
Lie Meng Pang, Yang Nan, Hisao Ishibuchi
2023 C conf
Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems.
EMO
Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2023 J jnl
Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition.
IEEE Trans. Cybern.
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2022 J jnl
Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.
CoRR
Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang
2022 J jnl
Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2022 J jnl
Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier].
IEEE Comput. Intell. Mag.
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2022 — conf
Difficulties in fair performance comparison of multiobjective evolutionary algorithms.
GECCO Companion
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2022 B conf
Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets.
CEC
Hisao Ishibuchi, Yiming Peng, Lie Meng Pang
2022 — conf
New Solution Creation Operator in MOEA/D for Faster Convergence.
PPSN (2)
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi
2021 J jnl
A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang
2021 A conf
Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms.
GECCO
Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng
2021 C conf
Improving the Efficiency of R2HCA-EMOA.
EMO
Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang
2021 — conf
Initial Population Generation Method and its Effects on MOEA/D.
SSCI
Cheng Gong, Lie Meng Pang, Hisao Ishibuchi
2021 B conf
Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization.
CEC
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021 — conf
Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization.
SSCI
Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021 B conf
Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization.
SMC
Lie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen
2021 B conf
Reference Point Specification for Greedy Hypervolume Subset Selection.
SMC
Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan
2021 J jnl
Robust TSK Fuzzy System Based on Semisupervised Learning for Label Noise Data.
IEEE Trans. Fuzzy Syst.
Te Zhang, Zhaohong Deng, Hisao Ishibuchi, Lie Meng Pang
2021 C conf
Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems.
EMO
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2021 B conf
Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems.
CEC
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 A conf
A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive.
ECAI
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 J jnl
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology.
IEEE Access
Lie Meng Pang, Kai Meng Tay, Chee Peng Lim, Hisao Ishibuchi
2020 B conf
Algorithm Configurations of MOEA/D with an Unbounded External Archive.
SMC
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 J jnl
Algorithm Configurations of MOEA/D with an Unbounded External Archive.
CoRR
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 J jnl
Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks.
IEEE Access
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 J jnl
Decomposition-Based Multi-Objective Evolutionary Algorithm Design under Two Algorithm Frameworks.
CoRR
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 J jnl
Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets.
CoRR
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 J jnl
NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems.
IEEE Access
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2020 B conf
Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization.
SMC
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 B conf
Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection.
SMC
Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 B conf
Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms.
SMC
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2020 J jnl
Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization.
CoRR
Hisao Ishibuchi, Lie Meng Pang, Ke Shang
2019 — conf
Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm.
SSCI
Lie Meng Pang, Hisao Ishibuchi, Ke Shang
2019 — conf
Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA.
SSCI
Weiduo Liao, Ke Shang, Lie Meng Pang, Hisao Ishibuchi
2017 J jnl
Application of self-organizing map to failure modes and effects analysis methodology.
Neurocomputing
Wui Lee Chang, Lie Meng Pang, Kai Meng Tay
2016 J jnl
Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System.
IEEE Trans. Fuzzy Syst.
Lie Meng Pang, Kai Meng Tay, Chee Peng Lim
2016 B conf
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test.
FUZZ-IEEE
Yi Wen Kerk, Lie Meng Pang, Kai Meng Tay, Chee Peng Lim
2014 B conf
A new monotonicity index for fuzzy rule-based systems.
FUZZ-IEEE
Lie Meng Pang, Kai Meng Tay, Chee Peng Lim
2013 B conf
A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems.
FUZZ-IEEE
Kai Meng Tay, Lie Meng Pang, Tze Ling Jee, Chee Peng Lim
2013 B conf
A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems.
FUZZ-IEEE
Kai Meng Tay, Tze Ling Jee, Lie Meng Pang, Chee Peng Lim