An efficient kriging modeling method for high-dimensional design problems based on maximal information coefficient von Zhao, Liang, Wang, Peng, Song, Baowei, Wang, Xinjing, Dong, Huachao

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Shape optimization of underwater wings with a new multi-fidelity bi-level strategy von Sun, Siqing, Song, Baowei, Wang, Peng, Dong, Huachao, Chen, Xiao

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Research on Multiple-AUVs Collaborative Detection and Surrounding Attack Simulation von Wen, Zhiwen, Wang, Zhong, Zhou, Daming, Qin, Dezhou, Jiang, Yichen, Liu, Junchang, Dong, Huachao

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Multi-surrogate-based Differential Evolution with multi-start exploration (MDEME) for computationally expensive optimization von Dong, Huachao, Li, Chengshan, Song, Baowei, Wang, Peng

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A modified evolutionary reinforcement learning for multi-agent region protection with fewer defenders von Sun, Siqing, Dong, Huachao, Li, Tianbo

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Kriging-based multi-fidelity optimization via information fusion with uncertainty von Li, Chengshan, Wang, Peng, Dong, Huachao

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Data-driven Harris Hawks constrained optimization for computationally expensive constrained problems von Fu, Chongbo, Dong, Huachao, Wang, Peng, Li, Yihong

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Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems von Wang, Wenxin, Dong, Huachao, Wang, Peng, Shen, Jiangtao

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Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems von Dong, Huachao, Dong, Zuomin

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Model-Based Digital Overall Integrated Design Method of AUVs von Wang, Zhong, Wen, Zhiwen, Yang, Wenfei, Liu, Zhihui, Dong, Huachao

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Performance study of a simplified shape optimization strategy for blended-wing-body underwater gliders von Li, Chengshan, Wang, Peng, Li, Tianbo, Dong, Huachao

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A constrained multi-objective optimization algorithm using an efficient global diversity strategy von Long, Wenyi, Dong, Huachao, Wang, Peng, Huang, Yan, Li, Jinglu, Yang, Xubo, Fu, Chongbo

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A kind of balance between exploitation and exploration on kriging for global optimization of expensive functions von Dong, Huachao, Song, Baowei, Wang, Peng, Huang, Shuai

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Kriging-based optimization design for a new style shell with black box constraints von Dong, Huachao, Song, Baowei, Wang, Peng

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Optimization of Hybrid Energy Storage Systems for Vehicles with Dynamic On-Off Power Loads Using a Nested Formulation von Liu, Jiajun, Dong, Huachao, Jin, Tianxu, Liu, Li, Manouchehrinia, Babak, Dong, Zuomin

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Multi-objective optimization design for the multi-bubble pressure cabin in BWB underwater glider von He, Yanru, Song, Baowei, Dong, Huachao

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Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems von Dong, Huachao, Wang, Peng, Fu, Chongbo, Song, Baowei

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A multistage evolutionary algorithm for many-objective optimization von Shen, Jiangtao, Wang, Peng, Dong, Huachao, Li, Jinglu, Wang, Wenxin

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Surrogate-assisted teaching-learning-based optimization for high-dimensional and computationally expensive problems von Dong, Huachao, Wang, Peng, Yu, Xinkai, Song, Baowei

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Multi-fidelity global optimization using a data-mining strategy for computationally intensive black-box problems von Liu, Jie, Dong, Huachao, Wang, Peng

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