蔡习文 博士、副教授、硕士生导师

研究领域：近似模型辅助的设计优化、多目标优化、结构设计优化

办公地点：工程北楼519

电子邮箱: caixw@gzhu.edu.cn

个人简介：

蔡习文，从事数据驱动的智能设计优化的新理论、新方法及其应用基础研究，具体研究数据驱动的近似模型建模方法，基于近似模型的优化方法及近似模型辅助的进化优化算法等，并将其应用于机械、天线等的结构设计优化。主持了国家自然科学基金青年基金项目、中国博士后基金面上项目和广州市科技计划青年项目，并作为主要成员参与了国家973项目、国家自然科学基金面上项目、广东省自然科学基金面上项目等。在结构设计优化相关国际权威期刊如IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, Structural and Multidisciplinary Optimization等发表SCI/EI论文20余篇，Google学术引用800余次。

教育背景:

◆2012-2017  华中科技大学  机械科学与工程学院    博士（硕博连读）

◆2008-2012 武汉工程大学  机电工程学院     学士

职业经历:

◆2022-至今  广州大学   机械与电气工程学院    特聘副教授

◆2020-2022  南方科技大学  计算机科学与工程学院   博士后

◆2018-2020 华中科技大学  机械科学与工程学院   博士后

教授课程:

《工程力学》和《机器人学》

代表性研究成果:

(1)    Xiwen Cai, Tao Zou, Liang Gao (2023). Surrogate-assisted operator-repeated evolutionary algorithm for computationally expensive multi-objective problems. Applied soft computing, online. (SCI, JCR Q1, IF: 8.7)

(2)    Xiwen Cai, Gan Ruan, Bo Yuan, Liang Gao (2023). Complementary surrogate-assisted differential evolution algorithm for expensive multi-objective problems under a limited computational budget. Information Sciences, 2023, 632, 791-814. (SCI, JCR Q1, IF: 8.1)

(3)    Kai Fu, Xiwen Cai, Bo Yuan*, Yang Yang, Xin Yao (2022). An efficient surrogate assisted particle swarm optimization for antenna synthesis. IEEE Transactions on Antennas and Propagation, 2022, 70(7): 4977-4984. (SCI, JCR Q1, IF: 5.7)

(4)    Fan Li, Xiwen Cai, Liang Gao*, Weiming Shen (2021). A surrogate-assisted multi-swarm optimization algorithm for high-dimensional computationally expensive problems. IEEE Transactions on Cybernetics, (99):1-13. (SCI, JCR Q1, IF: 11.8)

(5)    Xiwen Cai, Liang Gao, Xinyu Li (2020). Efficient generalized surrogate-assisted evolutionary algorithm for high-dimensional expensive problems. IEEE Transactions on Evolutionary Computation, 24 (2), 265-379. (SCI, JCR Q1, IF: 14.3)

(6)    Yang Zan. Qiu Haobo*, Gao Liang, Cai Xiwen, Chen Jiang, Liming Chen (2020). Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems. Information Sciences, 508, 50-63. (SCI, JCR Q1, IF: 8.1)

(7)    Xiwen Cai, Haobo Qiu, Liang Gao, Xinyu Li (2019). Surrogate-guided differential evolution algorithm for high dimensional expensive problems. Swarm and Evolutionary Computation, 48, 288-311. (SCI, JCR Q1, IF: 10.0)

(8)    Xiwen Cai, Haobo Qiu, Liang Gao, Chen Jiang, Xinyu Shao (2019). An efficient surrogate-assisted particle swarm optimization algorithm for high-dimensional expensive problems. Knowledge-Based Systems, 104901. (SCI, JCR Q1, IF: 8.8)

(9)    Xiwen Cai, Liang Gao, Fan Li (2019). Sequential approximation optimization assisted particle swarm optimization for expensive problems. Applied Soft Computing, 83, 105659. (SCI, JCR Q1, IF: 8.7)

(10) Jiang Chen, Xiwen Cai, Haobo Qiu*, Liang Gao, Peigen Li (2018). A two-stage support vector regression assisted sequential sampling approach for global metamodeling. Structural and Multidisciplinary Optimization, 58(4), 1657-1672. (SCI, JCR Q1, IF: 3.9)

(11) Xiwen Cai, Haobo Qiu, Liang Gao, Xinyu Shao (2017). Metamodeling for high dimensional design problems by multi-fidelity simulations. Structural and Multidisciplinary Optimization, 56(1), 151-166. (SCI, JCR Q1, IF: 3.9)

(12) Xiwen Cai, Haobo Qiu, Liang Gao, Peng Yang, Xinyu Shao (2017). A multi-point sampling method based on kriging for global optimization. Structural and Multidisciplinary Optimization, 56(1), 71-88. (SCI, JCR Q1, IF: 3.9)

(13) Xiwen Cai, Haobo Qiu, Liang Gao, Wei Li, Xinyu Shao (2017). Adaptive radial-basis-function-based multi-fidelity metamodeling for expensive black-box problems. AIAA Journal, 2424-2436. (SCI, JCR Q1, IF: 2.5)

(14) Xiwen Cai, Haobo Qiu, Liang Gao, Peng Yang, Xinyu Shao (2016). An enhanced RBF-HDMR integrated with an adaptive sampling method for approximating high dimensional problems in engineering design. Structural and Multidisciplinary Optimization, 53(6), 1209-1229. (SCI, JCR Q1, IF: 3.9)