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Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems.

Q. Lin, S. Liu, Q. Zhu, C. Tang, R. Song, J. Chen, C. Coello, K. Wong, и J. Zhang. IEEE Trans. Evol. Comput., 22 (1): 32-46 (2018)

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Lin Lin

Другие публикации лиц с тем же именем

Multifactorial optimization via explicit multipopulation evolutionary framework.G. Li, Q. Lin, и W. Gao. Inf. Sci., (2020)A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems.F. Chen, S. Wu, F. Liu, J. Ji, и Q. Lin. Complex., (2020)Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization.W. Lin, Q. Lin, Z. Zhu, J. Li, J. Chen, и Z. Ming. Complex., (2019)Artificial Bee Colony Algorithm Based on Neighboring Information Learning.L. Cui, G. Li, Q. Lin, J. Chen, N. Lu, и G. Zhang. ICONIP (3), том 9949 из Lecture Notes in Computer Science, стр. 279-289. (2016)A Novel Hybrid Multi-Objective Particle Swarm Optimization Algorithm With an Adaptive Resource Allocation Strategy.L. Li, S. Chen, Z. Gong, Q. Lin, и Z. Ming. IEEE Access, (2019)SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets.L. Ma, Y. Ma, Q. Lin, J. Ji, C. Coello, и M. Gong. IEEE Trans. Emerg. Top. Comput. Intell., 6 (1): 136-149 (2022)Reducing Negative Transfer Learning via Clustering for Dynamic Multiobjective Optimization.J. Li, T. Sun, Q. Lin, M. Jiang, и K. Tan. IEEE Trans. Evol. Comput., 26 (5): 1102-1116 (2022)Learning to Accelerate Evolutionary Search for Large-Scale Multiobjective Optimization.S. Liu, J. Li, Q. Lin, Y. Tian, и K. Tan. IEEE Trans. Evol. Comput., 27 (1): 67-81 (февраля 2023)An Effective Ensemble Framework for Multiobjective Optimization.W. Wang, S. Yang, Q. Lin, Q. Zhang, K. Wong, C. Coello, и J. Chen. IEEE Trans. Evol. Comput., 23 (4): 645-659 (2019)A ranking-based adaptive artificial bee colony algorithm for global numerical optimization.L. Cui, G. Li, X. Wang, Q. Lin, J. Chen, N. Lu, и J. Lu. Inf. Sci., (2017)

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