Lie Meng Pang

According to our database, Lie Meng Pang authored at least 55 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., August, 2024

Reliability of Indicator-Based Comparison Results of Evolutionary Multi-objective Algorithms.

Lie Meng Pang, Hisao Ishibuchi, Yang Nan, Cheng Gong

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms.

Cheng Gong, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum.

Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Interactive Final Solution Selection in Multi-Objective Optimization.

Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

IEEE Trans. Cybern., November, 2023

Benchmarking large-scale subset selection in evolutionary multi-objective optimization.

Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang

Inf. Sci., April, 2023

Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts.

Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Examination of the Multimodal Nature of Multi-Objective Neural Architecture Search.

Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Initial Populations with a Few Heuristic Solutions Significantly Improve Evolutionary Multi-Objective Combinatorial Optimization.

Cheng Gong, Yang Nan, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang

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.

Lie Meng Pang, Yang Nan, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Effects of Initialization Methods on the Performance of Multi-Objective Evolutionary Algorithms.

Cheng Gong, Lie Meng Pang, Yang Nan, Hisao Ishibuchi, Qingfu Zhang

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.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Effects of Including Optimal Solutions into Initial Population on Evolutionary Multiobjective Optimization.

Cheng Gong, Yang Nan, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Partially Degenerate Multi-objective Test Problems.

Lie Meng Pang, Yang Nan, Hisao Ishibuchi

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Performance Evaluation of Multi-objective Evolutionary Algorithms Using Artificial and Real-world Problems.

Hisao Ishibuchi, Yang Nan, Lie Meng Pang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

Counterintuitive Experimental Results in Evolutionary Large-Scale Multiobjective Optimization.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

IEEE Trans. Evol. Comput., 2022

Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.

Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang

CoRR, 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

New Solution Creation Operator in MOEA/D for Faster Convergence.

Longcan Chen, Lie Meng Pang, Hisao Ishibuchi

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Difficulties in fair performance comparison of multiobjective evolutionary algorithms.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

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.

Hisao Ishibuchi, Yiming Peng, Lie Meng Pang

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

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

A Survey on the Hypervolume Indicator in Evolutionary Multiobjective Optimization.

Ke Shang, Hisao Ishibuchi, Linjun He, Lie Meng Pang

IEEE Trans. Evol. Comput., 2021

Initial Population Generation Method and its Effects on MOEA/D.

Cheng Gong, Lie Meng Pang, Hisao Ishibuchi

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.

Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Reference Point Specification for Greedy Hypervolume Subset Selection.

Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan

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.

Lie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms.

Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Improving the Efficiency of R2HCA-EMOA.

Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang

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.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

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.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization.

Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

CoRR, 2020

Solution Subset Selection for Final Decision Making in Evolutionary Multi-Objective Optimization.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

CoRR, 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

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

Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

IEEE Access, 2020

Algorithm Configurations of MOEA/D with an Unbounded External Archive.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

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.

Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

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.

Hisao Ishibuchi, Lie Meng Pang, Ke Shang

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

Offline Automatic Parameter Tuning of MOEA/D Using Genetic Algorithm.

Lie Meng Pang, Hisao Ishibuchi, Ke Shang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA.

Weiduo Liao, Ke Shang, Lie Meng Pang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2017

Application of self-organizing map to failure modes and effects analysis methodology.

Wui Lee Chang, Lie Meng Pang, Kai Meng Tay

Neurocomputing, 2017

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

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

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2014

A new monotonicity index for fuzzy rule-based systems.

Lie Meng Pang, Kai Meng Tay, Chee Peng Lim

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.

Kai Meng Tay, Lie Meng Pang, Tze Ling Jee, Chee Peng Lim

Proceedings of the FUZZ-IEEE 2013, 2013

A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems.

Kai Meng Tay, Tze Ling Jee, Lie Meng Pang, Chee Peng Lim

Proceedings of the FUZZ-IEEE 2013, 2013