A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems. - Kai Meng Tay; Tze Ling Jee; Lie Meng Pang; Chee Peng Lim (FUZZ-IEEE, 2013)

A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems. - Kai Meng Tay; Lie Meng Pang; Tze Ling Jee; Chee Peng Lim (FUZZ-IEEE, 2013)

A new monotonicity index for fuzzy rule-based systems. - Lie Meng Pang; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2014)

Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test. - Yi Wen Kerk; Lie Meng Pang; Kai Meng Tay; Chee Peng Lim (FUZZ-IEEE, 2016)

Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System. - Lie Meng Pang; Kai Meng Tay; Chee Peng Lim (IEEE Trans. Fuzzy Syst., 2016)

Application of self-organizing map to failure modes and effects analysis methodology. - Wui Lee Chang; Lie Meng Pang; Kai Meng Tay (Neurocomputing, 2017)

Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA. - Weiduo Liao; Ke Shang; Lie Meng Pang; Hisao Ishibuchi (SSCI, 2019)

Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm. - Lie Meng Pang; Hisao Ishibuchi; Ke Shang (SSCI, 2019)

A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. - Hisao Ishibuchi; Lie Meng Pang; Ke Shang (ECAI, 2020)

Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms. - Hisao Ishibuchi; Lie Meng Pang; Ke Shang (SMC, 2020)

Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization. - Hisao Ishibuchi; Lie Meng Pang; Ke Shang (SMC, 2020)

Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection. - Weiduo Liao; Hisao Ishibuchi; Lie Meng Pang; Ke Shang (SMC, 2020)

Algorithm Configurations of MOEA/D with an Unbounded External Archive. - Lie Meng Pang; Hisao Ishibuchi; Ke Shang (SMC, 2020)

Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks. - Lie Meng Pang; Hisao Ishibuchi; Ke Shang (IEEE Access, 2020)

NSGA-II With Simple Modification Works Well on a Wide Variety of Many-Objective Problems. - Lie Meng Pang; Hisao Ishibuchi; Ke Shang (IEEE Access, 2020)

A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology. - Lie Meng Pang; Kai Meng Tay; Chee Peng Lim; Hisao Ishibuchi (IEEE Access, 2020)

Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization. - Hisao Ishibuchi; Lie Meng Pang; Ke Shang (CoRR, 2020)

Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets. - Hisao Ishibuchi; Lie Meng Pang; Ke Shang (CoRR, 2020)

Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. - Longcan Chen; Lie Meng Pang; Hisao Ishibuchi; Ke Shang (CEC, 2021)

Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems. - Lie Meng Pang; Hisao Ishibuchi; Ke Shang (CEC, 2021)

Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems. - Lie Meng Pang; Hisao Ishibuchi; Ke Shang (EMO, 2021)

Improving the Efficiency of R2HCA-EMOA. - Ke Shang; Hisao Ishibuchi; Longcan Chen; Weiyu Chen; Lie Meng Pang (EMO, 2021)

Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. - Jinyuan Zhang; Hisao Ishibuchi; Ke Shang; Linjun He; Lie Meng Pang; Yiming Peng (GECCO, 2021)

Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization. - Lie Meng Pang; Ke Shang; Longcan Chen; Hisao Ishibuchi; Weiyu Chen (SMC, 2021)

Reference Point Specification for Greedy Hypervolume Subset Selection. - Ke Shang; Hisao Ishibuchi; Lie Meng Pang; Yang Nan 001 (SMC, 2021)

Periodical Weight Vector Update Using an Unbounded External Archive for Decomposition-Based Evolutionary Multi-Objective Optimization. - Longcan Chen; Lie Meng Pang; Hisao Ishibuchi; Ke Shang (SSCI, 2021)

Initial Population Generation Method and its Effects on MOEA/D. - Cheng Gong; Lie Meng Pang; Hisao Ishibuchi (SSCI, 2021)

A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization. - Ke Shang; Hisao Ishibuchi; Linjun He; Lie Meng Pang (IEEE Trans. Evol. Comput., 2021)

Robust TSK Fuzzy System Based on Semisupervised Learning for Label Noise Data. - Te Zhang; Zhaohong Deng; Hisao Ishibuchi; Lie Meng Pang (IEEE Trans. Fuzzy Syst., 2021)

Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. - Hisao Ishibuchi; Yiming Peng; Lie Meng Pang (CEC, 2022)

Difficulties in fair performance comparison of multiobjective evolutionary algorithms. - Hisao Ishibuchi; Lie Meng Pang; Ke Shang (GECCO Companion, 2022)

New Solution Creation Operator in MOEA/D for Faster Convergence. - Longcan Chen; Lie Meng Pang; Hisao Ishibuchi (PPSN (2), 2022)

Difficulties in Fair Performance Comparison of Multi-Objective Evolutionary Algorithms [Research Frontier]. - Hisao Ishibuchi; Lie Meng Pang; Ke Shang (IEEE Comput. Intell. Mag., 2022)

Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization. - Ke Shang; Tianye Shu; Hisao Ishibuchi; Yang Nan 001; Lie Meng Pang (CoRR, 2022)

Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization. - Lie Meng Pang; Hisao Ishibuchi; Ke Shang (IEEE Trans. Evol. Comput., 2022)

Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. - Hisao Ishibuchi; Yang Nan 001; Lie Meng Pang (EMO, 2023)

Partially Degenerate Multi-objective Test Problems. - Lie Meng Pang; Yang Nan 001; Hisao Ishibuchi (EMO, 2023)

Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (GECCO, 2023)

Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. - Hisao Ishibuchi; Lie Meng Pang; Ke Shang (GECCO, 2023)

Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. - Cheng Gong; Lie Meng Pang; Yang Nan 001; Hisao Ishibuchi; Qingfu Zhang 001 (SMC, 2023)

How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization. - Lie Meng Pang; Yang Nan 001; Hisao Ishibuchi (SMC, 2023)

Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (SSCI, 2023)

Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (SSCI, 2023)

Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts. - Ke Shang; Tianye Shu; Guotong Wu; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi (SSCI, 2023)

Benchmarking large-scale subset selection in evolutionary multi-objective optimization. - Ke Shang; Tianye Shu; Hisao Ishibuchi; Yang Nan 001; Lie Meng Pang (Inf. Sci., 2023)

Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition. - Lie Meng Pang; Hisao Ishibuchi; Ke Shang (IEEE Trans. Cybern., 2023)

Interactive Final Solution Selection in Multi-Objective Optimization. - Cheng Gong; Yang Nan 001; Tianye Shu; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (CEC, 2024)

Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems. - Lie Meng Pang; Hisao Ishibuchi; Ke Shang (CEC, 2024)

Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. - Longcan Chen; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (GECCO, 2024)

Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (GECCO, 2024)

Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. - Cheng Gong; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi; Qingfu Zhang 001 (GECCO, 2024)

New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive. - Hisao Ishibuchi; Lie Meng Pang; Ke Shang (GECCO Companion, 2024)

Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. - Cheng Gong; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (PPSN (4), 2024)

Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms. - Lie Meng Pang; Hisao Ishibuchi; Yang Nan 001; Cheng Gong (PPSN (4), 2024)

Distance-Based Subset Selection With a Knee Point for Multi-Objective Optimization. - Lie Meng Pang; Hisao Ishibuchi (SCIS/ISIS, 2024)

Hypervolume-Based Cooperative Coevolution With Two Reference Points for Multiobjective Optimization. - Lie Meng Pang; Hisao Ishibuchi; Linjun He; Ke Shang; Longcan Chen (IEEE Trans. Evol. Comput., 2024)

Effects of Unbounded External Archive on the Performance of Constrained Multiobjective Evolutionary Algorithms. - Yanyu Chen; Linfeng Zhu; Lie Meng Pang; Hisao Ishibuchi (CEC, 2025)

Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. - Cheng Gong; Ping Guo 007; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (CEC, 2025)

Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems. - Hisao Ishibuchi; Lie Meng Pang (CEC, 2025)

Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization. - Lie Meng Pang; Hisao Ishibuchi (CEC, 2025)

On the Quality of Large Non-dominated Archives. - Ke Shang; Tianye Shu; Yang Nan 001; Lie Meng Pang; Hisao Ishibuchi (CEC, 2025)

Visual Explanations of Some Problematic Search Behaviors of Frequently-Used EMO Algorithms. - Hisao Ishibuchi; Lie Meng Pang (EMO (2), 2025)

Performance Analysis of Constrained Evolutionary Multi-objective Optimization Algorithms on Artificial and Real-World Problems. - Yang Nan 001; Hisao Ishibuchi; Lie Meng Pang (EMO (2), 2025)

Small Population Size is Enough in Many Cases with External Archives. - Yang Nan 001; Hisao Ishibuchi; Lie Meng Pang (EMO (2), 2025)

Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization. - Lie Meng Pang; Hisao Ishibuchi; Yang Nan 001 (EMO (1), 2025)

Numerical Analysis of Pareto Set Modeling. - Tianye Shu; Hisao Ishibuchi; Yang Nan 001; Lie Meng Pang (EMO (2), 2025)

Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. - Cheng Gong; Ping Guo 007; Lie Meng Pang; Qingfu Zhang 001; Hisao Ishibuchi (GECCO, 2025)

Search Behavior Analysis of NSGA-III: Dominance-based and Decomposition-based Multi-objective Evolutionary Algorithm. - Hisao Ishibuchi; Lie Meng Pang; Cheng Gong (GECCO, 2025)

When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation. - Zhiji Cui; Zimin Liang; Lie Meng Pang; Hisao Ishibuchi; Miqing Li (CoRR, 2025)

Targeted Pareto Optimization for Subset Selection With Monotone Objective Function and Cardinality Constraint. - Ke Shang; Guotong Wu; Lie Meng Pang; Hisao Ishibuchi (IEEE Trans. Evol. Comput., 2025)