| 2026 | GECCO | Weight Vector Specification in MOEA/D to Find Balanced and Promising Solutions for Multi-Criteria Decision Making. | Lie Meng Pang, Michael T. M. Emmerich, Hisao Ishibuchi |
| 2026 | GECCO | Fair Performance Comparison of Evolutionary Multi-Objective Algorithms. | Lie Meng Pang, Hisao Ishibuchi |
| 2026 | GECCO | Are NSGA-III Implementations Really Stable? A Cross-Platform Analysis of Anomalous Behaviors of NSGA-III. | Kenneth Zhang, Lie Meng Pang, Hisao Ishibuchi |
| 2026 | PPSN | Performance Indicators for Anytime Performance Analysis of Multi-objective Evolutionary Algorithms. | Lie Meng Pang, Hisao Ishibuchi |
| 2026 | PPSN | Toward a Better NSGA-III: Addressing Consistency, Stability, and Uniformity. | Kenneth Zhang, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | CEC | Effects of Unbounded External Archive on the Performance of Constrained Multiobjective Evolutionary Algorithms. | Yanyu Chen, Linfeng Zhu, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | CEC | Population Initialization for Evolutionary Multi-objective Optimization: A Short Review. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | CEC | Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems. | Hisao Ishibuchi, Lie Meng Pang |
| 2025 | CEC | Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization. | Lie Meng Pang, Hisao Ishibuchi |
| 2025 | CEC | On the Quality of Large Non-dominated Archives. | Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | EMO | Visual Explanations of Some Problematic Search Behaviors of Frequently-Used EMO Algorithms. | Hisao Ishibuchi, Lie Meng Pang |
| 2025 | EMO | Performance Analysis of Constrained Evolutionary Multi-objective Optimization Algorithms on Artificial and Real-World Problems. | Yang Nan, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | EMO | Small Population Size is Enough in Many Cases with External Archives. | Yang Nan, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | EMO | Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization. | Lie Meng Pang, Hisao Ishibuchi, Yang Nan |
| 2025 | EMO | Numerical Analysis of Pareto Set Modeling. | Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2025 | FOGA | 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. | Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2025 | FOGA | Scalable Multi-Modal Multi-Objective Test Problems with Respect to Decision Space Dimensionality and Pareto Set Dimensionality: High-Dimensional Manhattan Distance Minimization Problems. | Hisao Ishibuchi, Tianye Shu, Lie Meng Pang |
| 2025 | GECCO | 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 |
| 2025 | GECCO | Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems. | Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | GECCO | Fair Performance Comparison of Evolutionary Multi-Objective Algorithms. | Hisao Ishibuchi, Lie Meng Pang |
| 2025 | GECCO | Search Behavior Analysis of NSGA-III: Dominance-based and Decomposition-based Multi-objective Evolutionary Algorithm. | Hisao Ishibuchi, Lie Meng Pang, Cheng Gong |
| 2025 | IJCNN | Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2025 | IJCNN | An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms. | Tianye Shu, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | IJCNN | Investigation of Training-free Metrics for Multi-objective Neural Architecture Search. | Tianye Shu, Hisao Ishibuchi, Andy Song, Yang Nan, Lie Meng Pang |
| 2025 | PRICAI | Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems. | Ke Shang, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | SMC | How to Choose Solutions for Applying Momentum in Evolutionary Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | SMC | Dual Population-Based Objective Modification for Enhancing NSGA-II in Many-Objective Optimization. | Lie Meng Pang, Hisao Ishibuchi, Hemant Kumar Signh |
| 2025 | SMC | Visual Tradeoff Analysis between Decision Space Diversity and Objective Space Diversity: Use of DTLZ Test Problems as Multi-Modal Multi-Objective Optimization Problems. | Lie Meng Pang, Tianye Shu, Hisao Ishibuchi |
| 2024 | CEC | Interactive Final Solution Selection in Multi-Objective Optimization. | Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | CEC | Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems. | Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2024 | GECCO | Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. | Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | GECCO | Heuristic Initialization and Knowledge-based Mutation for Large-Scale Multi-Objective 0-1 Knapsack Problems. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | GECCO | Performance of NSGA-III on Multi-objective Combinatorial Optimization Problems Heavily Depends on Its Implementations. | Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | GECCO | New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2024 | PPSN | Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms. | Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | PPSN | Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms. | Lie Meng Pang, Hisao Ishibuchi, Yang Nan, Cheng Gong |
| 2023 | EMO | Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems. | Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2023 | EMO | Partially Degenerate Multi-objective Test Problems. | Lie Meng Pang, Yang Nan, Hisao Ishibuchi |
| 2023 | GECCO | Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization. | Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2023 | GECCO | Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2023 | SMC | Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms. | Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang |
| 2023 | SMC | How to Find a Large Solution Set to Cover the Entire Pareto Front in Evolutionary Multi-Objective Optimization. | Lie Meng Pang, Yang Nan, Hisao Ishibuchi |
| 2022 | CEC | Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. | Hisao Ishibuchi, Yiming Peng, Lie Meng Pang |
| 2022 | GECCO | Difficulties in fair performance comparison of multiobjective evolutionary algorithms. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2022 | PPSN | New Solution Creation Operator in MOEA/D for Faster Convergence. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi |
| 2021 | CEC | Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2021 | CEC | 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 |
| 2021 | EMO | 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 |
| 2021 | EMO | Improving the Efficiency of R2HCA-EMOA. | Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang |
| 2021 | GECCO | Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. | Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng |
| 2021 | SMC | 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 |
| 2021 | SMC | Reference Point Specification for Greedy Hypervolume Subset Selection. | Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan |
| 2020 | ECAI | A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection. | Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Algorithm Configurations of MOEA/D with an Unbounded External Archive. | Lie Meng Pang, Hisao Ishibuchi, Ke Shang |