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  1.  7
    Multiobjective Personalized Recommendation Algorithm Using Extreme Point Guided Evolutionary Computation.Qiuzhen Lin, Xiaozhou Wang, Bishan Hu, Lijia Ma, Fei Chen, Jianqiang Li & Carlos A. Coello Coello - 2018 - Complexity 2018:1-18.
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  2.  3
    A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems.Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji & Qiuzhen Lin - 2020 - Complexity 2020:1-18.
    Most multiobjective particle swarm optimizers often face the challenges of keeping diversity and achieving convergence on tackling many-objective optimization problems, as they usually use the nondominated sorting method or decomposition-based method to select the local or best particles, which is not so effective in high-dimensional objective space. To better solve MaOPs, this paper presents a novel angular-guided particle swarm optimizer. A novel velocity update strategy is designed in AGPSO, which aims to enhance the search intensity around the particles selected based (...)
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  3.  11
    Evolutionary Search with Multiple Utopian Reference Points in Decomposition-Based Multiobjective Optimization.Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianqiang Li, Jianyong Chen & Zhong Ming - 2019 - Complexity 2019:1-22.
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  4.  9
    A Constrained Solution Update Strategy for Multiobjective Evolutionary Algorithm Based on Decomposition.Yuchao Su, Qiuzhen Lin, Jia Wang, Jianqiang Li, Jianyong Chen & Zhong Ming - 2019 - Complexity 2019:1-11.
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  5.  5
    On Stability of Multi-Valued Nonlinear Feedback Shift Registers.Haiyan Wang, Qiuzhen Lin, Jianyong Chen, Jianqiang Li, Jianghua Zhong, Dongdai Lin, Jia Wang & Lijia Ma - 2019 - Complexity 2019:1-11.
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