Multi-surrogate-based Differential Evolution with multi-start exploration (MDEME) for computationally expensive optimization. - Huachao Dong; Chengshan Li; Baowei Song; Peng Wang 021 (Adv. Eng. Softw., 2018)

SCGOSR: Surrogate-based constrained global optimization using space reduction. - Huachao Dong; Baowei Song; Zuomin Dong; Peng Wang 021 (Appl. Soft Comput., 2018)

Hybrid surrogate-based optimization using space reduction (HSOSR) for expensive black-box functions. - Huachao Dong; Baowei Song; Peng Wang 021; Zuomin Dong (Appl. Soft Comput., 2018)

Enhanced Water Cycle Algorithm with Active Learning and Return Strategy. - Caihua Chen; Peng Wang 021; Huachao Dong; Xinjing Wang (CEC, 2019)

Hierarchical Learning Water Cycle Algorithm. - Caihua Chen; Peng Wang 021; Huachao Dong; Xinjing Wang (Appl. Soft Comput., 2020)

Kriging-assisted Discrete Global Optimization (KDGO) for black-box problems with costly objective and constraints. - Huachao Dong; Peng Wang 021; Baowei Song; Yijin Zhang; Xiaoyi An (Appl. Soft Comput., 2020)

Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems. - Huachao Dong; Zuomin Dong (Swarm Evol. Comput., 2020)

SGOP: Surrogate-assisted global optimization using a Pareto-based sampling strategy. - Huachao Dong; Peng Wang 021; Weixi Chen; Baowei Song (Appl. Soft Comput., 2021)

Surrogate-assisted teaching-learning-based optimization for high-dimensional and computationally expensive problems. - Huachao Dong; Peng Wang 021; Xinkai Yu; Baowei Song (Appl. Soft Comput., 2021)

Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems. - Huachao Dong; Peng Wang 021; Chongbo Fu; Baowei Song (Inf. Sci., 2021)

Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy. - Huachao Dong; Jinglu Li; Peng Wang 021; Baowei Song; Xinkai Yu (Knowl. Based Syst., 2021)

Multi-fidelity global optimization using a data-mining strategy for computationally intensive black-box problems. - Jie Liu; Huachao Dong; Peng Wang 021 (Knowl. Based Syst., 2021)

Blended-wing-body underwater glider shape transfer optimization. - Weixi Chen; Huachao Dong; Peng Wang 021; Xiaozuo Liu (CEC, 2022)

Multi/many-objective evolutionary algorithm assisted by radial basis function models for expensive optimization. - Jinglu Li; Peng Wang 021; Huachao Dong; Jiangtao Shen (Appl. Soft Comput., 2022)

An adaptive bi-level task planning strategy for multi-USVs target visitation. - Siqing Sun; Baowei Song; Peng Wang 021; Huachao Dong; Xiao Chen (Appl. Soft Comput., 2022)

A multistage evolutionary algorithm for many-objective optimization. - Jiangtao Shen; Peng Wang 021; Huachao Dong; Jinglu Li; Wenxin Wang (Inf. Sci., 2022)

A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization. - Jinglu Li; Peng Wang 021; Huachao Dong; Jiangtao Shen; Caihua Chen (Knowl. Based Syst., 2022)

A dynamic space reduction ant colony optimization for capacitated vehicle routing problem. - Jinsi Cai; Peng Wang 021; Siqing Sun; Huachao Dong (Soft Comput., 2022)

Surrogate-assisted hierarchical learning water cycle algorithm for high-dimensional expensive optimization. - Caihua Chen; Xinjing Wang; Huachao Dong; Peng Wang 021 (Swarm Evol. Comput., 2022)

A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization. - Jinglu Li; Peng Wang 021; Huachao Dong; Jiangtao Shen (Swarm Evol. Comput., 2022)

Real-Time Mission-Motion Planner for Multi-UUVs Cooperative Work Using Tri-Level Programing. - Siqing Sun; Baowei Song; Peng Wang 021; Huachao Dong; Xiao Chen (IEEE Trans. Intell. Transp. Syst., 2022)

Expensive Many-Objective Optimization by Learning of the Strengthened Dominance Relation. - Jiangtao Shen; Peng Wang 021; Huachao Dong; Wenxin Wang (CEC, 2023)

Surrogate-assisted global transfer optimization based on adaptive sampling strategy. - Weixi Chen; Huachao Dong; Peng Wang 021; Xinjing Wang (Adv. Eng. Informatics, 2023)

A clustering-based surrogate-assisted evolutionary algorithm (CSMOEA) for expensive multi-objective optimization. - Wenxin Wang; Huachao Dong; Peng Wang 021; Xinjing Wang; Jiangtao Shen (Soft Comput., 2023)

An inverse model-guided two-stage evolutionary algorithm for multi-objective optimization. - Jiangtao Shen; Huachao Dong; Peng Wang 021; Jinglu Li; Wenxin Wang (Expert Syst. Appl., 2023)

Multi-objective constrained black-box optimization algorithm based on feasible region localization and performance-improvement exploration. - Jinglu Li; Huachao Dong; Peng Wang 021; Jiangtao Shen; Dezhou Qin (Appl. Soft Comput., 2023)

A dual surrogate assisted evolutionary algorithm based on parallel search for expensive multi/many-objective optimization. - Jiangtao Shen; Peng Wang 021; Ye Tian; Huachao Dong (Appl. Soft Comput., 2023)

Surrogate-Assisted Adaptive Knowledge Transfer for Expensive Multitasking Optimization. - Jiangtao Shen; Huachao Dong; Peng Wang; Xinjing Wang; Wenxin Wang (CEC, 2024)

A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems. - Wenyi Long; Peng Wang 021; Huachao Dong; Jinglu Li; Chongbo Fu (Appl. Soft Comput., 2024)

Cooperative defense of autonomous surface vessels with quantity disadvantage using behavior cloning and deep reinforcement learning. - Siqing Sun; Tianbo Li; Xiao Chen; Huachao Dong; Xinjing Wang (Appl. Soft Comput., 2024)

A surrogate-assisted expensive constrained multi-objective global optimization algorithm and application. - Wenxin Wang; Huachao Dong; Xinjing Wang; Peng Wang; Jiangtao Shen; Guanghui Liu (Appl. Soft Comput., 2024)

Surrogate-assisted evolutionary algorithm with decomposition-based local learning for high-dimensional multi-objective optimization. - Jiangtao Shen; Peng Wang 021; Huachao Dong; Wenxin Wang; Jinglu Li (Expert Syst. Appl., 2024)

Research on Multiple-AUVs Collaborative Detection and Surrounding Attack Simulation. - Zhiwen Wen; Zhong Wang; Daming Zhou; Dezhou Qin; Yichen Jiang; Junchang Liu; Huachao Dong (Sensors, 2024)

Data-driven multi-phase constrained optimization based on multi-surrogate collaboration mechanism and space reduction strategy. - Xiao-Yao Han; Peng Wang 021; Huachao Dong; Xinjing Wang (Appl. Soft Comput., 2025)

Knowledge-guided global optimization for expensive and black-box constrained multi-objective engineering design problems. - Wenxin Wang; Huachao Dong; Xinjing Wang; Peng Wang 021; Jiangtao Shen; Yichen Jiang; Zhiwen Wen; Haijia Zhu (Appl. Soft Comput., 2025)

Adaptive knowledge transfer based on machine learning method for evolutionary multitasking optimization. - Jiangtao Shen; Huachao Dong; Ye Tian; Xinjing Wang; Weixi Chen; Haijia Zhu (Inf. Sci., 2025)