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Shuwei Zhu
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2020 – today
- 2024
- [j14]MengChu Zhou
, Meiji Cui
Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey. IEEE CAA J. Autom. Sinica 11(5): 1092-1105 (2024) - [j13]Xiaotong Li
An adaptive binary quantum-behaved particle swarm optimization algorithm for the multidimensional knapsack problem. Swarm Evol. Comput. 86: 101494 (2024) - [c10]Wenping Wang, Yang Zhang, Shuwei Zhu, Meiji Cui:
A Novel Subspace Construction Method for Large-Scale Evolutionary Multi-Objective Optimization. CEC 2024: 1-8 - [c9]Ning Sun
Modeling and Optimization of Energy Consumption in Data-driven Factory Air Conditioning System. GECCO Companion 2024: 107-108 - [c8]Nan Sun
Surrogate Modeling in Efficient Evolutionary Multiobjective Clustering Algorithm. GECCO Companion 2024: 111-112 - [c7]Siyuan Chen
TextNet: An Neural Architecture Search Method based on Rapid Text Processing Network Structure Analysis. GECCO Companion 2024: 2087-2090 - [i1]Shuwei Zhu, Siying Lv, Kaifeng Chen, Wei Fang, Leilei Cao:
Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms. CoRR abs/2403.05832 (2024) - 2023
- [j12]Wei Fang
LoNAS: Low-Cost Neural Architecture Search Using a Three-Stage Evolutionary Algorithm [Research Frontier]. IEEE Comput. Intell. Mag. 18(2): 78-93 (2023) - [j11]Xiaotong Li, Wei Fang
An improved binary quantum-behaved particle swarm optimization algorithm for knapsack problems. Inf. Sci. 648: 119529 (2023) - [j10]Shuwei Zhu
A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization. Nat. Comput. 22(2): 287-313 (2023) - [j9]Wenyu Wu, Mingrui Li, Jincheng Hu, Shuwei Zhu, Chengqi Xue:
Research on Guidance Methods of Digital Twin Robotic Arms Based on User Interaction Experience Quantification. Sensors 23(17): 7602 (2023) - 2022
- [j8]Shuwei Zhu
A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance. IEEE Trans. Cybern. 52(8): 7776-7790 (2022) - [j7]Shuwei Zhu
Hierarchical Topology-Based Cluster Representation for Scalable Evolutionary Multiobjective Clustering. IEEE Trans. Cybern. 52(9): 9846-9860 (2022) - [c6]Yufan Yang, Shuwei Zhu, Fang Jia:
An AGV Appearance Optimization Design Based On Humanized Design Theory. M2VIP 2022: 1-4 - 2021
- [c5]Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. EMO 2021: 349-361 - [c4]Meiji Cui, Li Li, Shuwei Zhu, MengChu Zhou:
An Improved Competitive Swarm Optimizer Based on Generalized Pareto Dominance for Large-scale Multi-objective and Many-objective Problems. ICNSC 2021: 1-6 - 2020
- [j6]Zhuang Li
Pruning of Network Filters for Small Dataset. IEEE Access 8: 4522-4533 (2020) - [j5]Shuwei Zhu, Lihong Xu, Erik D. Goodman
Evolutionary multi-objective automatic clustering enhanced with quality metrics and ensemble strategy. Knowl. Based Syst. 188 (2020) - [j4]Leilei Cao
Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor. IEEE Trans. Evol. Comput. 24(2): 305-319 (2020)
2010 – 2019
- 2018
- [j3]Shuwei Zhu, Lihong Xu:
Many-objective fuzzy centroids clustering algorithm for categorical data. Expert Syst. Appl. 96: 230-248 (2018) - [j2]Zhiping Zhou, Xiaoxiao Zhao
K-harmonic means clustering algorithm using feature weighting for color image segmentation. Multim. Tools Appl. 77(12): 15139-15160 (2018) - [j1]Zhiping Zhou, Shuwei Zhu
Kernel-based multiobjective clustering algorithm with automatic attribute weighting. Soft Comput. 22(11): 3685-3709 (2018) - [c3]Shuwei Zhu, Lihong Xu, Leilei Cao:
A study of automatic clustering based on evolutionary many-objective optimization. GECCO (Companion) 2018: 173-174 - [c2]Leilei Cao
A differential prediction model for evolutionary dynamic multiobjective optimization. GECCO 2018: 601-608 - 2015
- [c1]Zhiping Zhou, Shuwei Zhu, Daowen Zhang:
A Novel K-harmonic Means Clustering Based on Enhanced Firefly Algorithm. IScIDE (2) 2015: 140-149
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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