Personal profile
Author IDs
ORCID iD: 0000-0002-7087-9909
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Dive into the research topics where Longcan CHEN is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
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Research output
- 4 RGC 32 - Refereed conference paper (with host publication)
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How to Choose Solutions for Applying Momentum in Evolutionary Multi-Objective Optimization
Chen, L., Pang, L. M., Zhang, Q. & Ishibuchi, H., Oct 2025, 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) - Proceedings. IEEE, p. 3489-3495 7 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Mutation Probability Specification in Large-Scale Evolutionary Multi-Objective Optimization Algorithms
Nan, Y., Ishibuchi, H., Shu, T. & Chen, L., Oct 2025, 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) - Proceedings. IEEE, p. 3482-3488 7 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization
Chen, L., Pang, L. M., Ishibuchi, H. & Zhang, Q., 2025, International Joint Conference on Neural Networks, IJCNN 2025 - Conference Proceedings. IEEE, 7 p. (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum
Chen, L., Pang, L. M., Zhang, Q. & Ishibuchi, H., Jul 2024, GECCO'24 - Proceedings of the 2024 Genetic and Evolutionary Computation Conference. New York, NY: Association for Computing Machinery, p. 476-483 (GECCO - Proceedings of the Genetic and Evolutionary Computation Conference).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access6 Link opens in a new tab Citations (Scopus)