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2020 – today
- 2024
[j29]Wenyi Long, Peng Wang
, Huachao Dong, Jinglu Li, Chongbo Fu:
A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems. Appl. Soft Comput. 163: 111857 (2024)- [j28]Siqing Sun, Tianbo Li, Xiao Chen, Huachao Dong, Xinjing Wang:
Cooperative defense of autonomous surface vessels with quantity disadvantage using behavior cloning and deep reinforcement learning. Appl. Soft Comput. 164: 111968 (2024) - [j27]Wenxin Wang, Huachao Dong, Xinjing Wang, Peng Wang, Jiangtao Shen, Guanghui Liu:
A surrogate-assisted expensive constrained multi-objective global optimization algorithm and application. Appl. Soft Comput. 167: 112226 (2024) - [j26]Jiangtao Shen, Peng Wang, Huachao Dong, Wenxin Wang, Jinglu Li:
Surrogate-assisted evolutionary algorithm with decomposition-based local learning for high-dimensional multi-objective optimization. Expert Syst. Appl. 240: 122575 (2024) - [j25]Zhiwen Wen, Zhong Wang, Daming Zhou, Dezhou Qin, Yichen Jiang, Junchang Liu, Huachao Dong:
Research on Multiple-AUVs Collaborative Detection and Surrounding Attack Simulation. Sensors 24(2): 437 (2024) - [c4]Jiangtao Shen, Huachao Dong, Peng Wang, Xinjing Wang, Wenxin Wang:
Surrogate-Assisted Adaptive Knowledge Transfer for Expensive Multitasking Optimization. CEC 2024: 1-8 - 2023
- [j24]Weixi Chen, Huachao Dong, Peng Wang, Xinjing Wang:
Surrogate-assisted global transfer optimization based on adaptive sampling strategy. Adv. Eng. Informatics 56: 101914 (2023) - [j23]Jinglu Li, Huachao Dong, Peng Wang, Jiangtao Shen, Dezhou Qin:
Multi-objective constrained black-box optimization algorithm based on feasible region localization and performance-improvement exploration. Appl. Soft Comput. 148: 110874 (2023) - [j22]Jiangtao Shen, Peng Wang, Ye Tian, Huachao Dong:
A dual surrogate assisted evolutionary algorithm based on parallel search for expensive multi/many-objective optimization. Appl. Soft Comput. 148: 110879 (2023) - [j21]Jiangtao Shen, Huachao Dong, Peng Wang, Jinglu Li, Wenxin Wang:
An inverse model-guided two-stage evolutionary algorithm for multi-objective optimization. Expert Syst. Appl. 225: 120198 (2023) - [j20]Wenxin Wang, Huachao Dong, Peng Wang, Xinjing Wang, Jiangtao Shen:
A clustering-based surrogate-assisted evolutionary algorithm (CSMOEA) for expensive multi-objective optimization. Soft Comput. 27(15): 10665-10686 (2023) - [c3]Jiangtao Shen, Peng Wang, Huachao Dong, Wenxin Wang:
Expensive Many-Objective Optimization by Learning of the Strengthened Dominance Relation. CEC 2023: 1-8 - 2022
- [j19]Siqing Sun, Baowei Song, Peng Wang, Huachao Dong, Xiao Chen:
An adaptive bi-level task planning strategy for multi-USVs target visitation. Appl. Soft Comput. 115: 108086 (2022) - [j18]Jinglu Li, Peng Wang, Huachao Dong, Jiangtao Shen:
Multi/many-objective evolutionary algorithm assisted by radial basis function models for expensive optimization. Appl. Soft Comput. 122: 108798 (2022) - [j17]Jiangtao Shen, Peng Wang, Huachao Dong, Jinglu Li, Wenxin Wang:
A multistage evolutionary algorithm for many-objective optimization. Inf. Sci. 589: 531-549 (2022) - [j16]Jinglu Li, Peng Wang, Huachao Dong, Jiangtao Shen, Caihua Chen:
A classification surrogate-assisted multi-objective evolutionary algorithm for expensive optimization. Knowl. Based Syst. 242: 108416 (2022) - [j15]Jinsi Cai, Peng Wang, Siqing Sun, Huachao Dong:
A dynamic space reduction ant colony optimization for capacitated vehicle routing problem. Soft Comput. 26(17): 8745-8756 (2022) - [j14]Jinglu Li, Peng Wang, Huachao Dong, Jiangtao Shen:
A Two-stage Surrogate-Assisted Evolutionary Algorithm (TS-SAEA) for Expensive Multi/Many-objective Optimization. Swarm Evol. Comput. 73: 101107 (2022) - [j13]Caihua Chen, Xinjing Wang, Huachao Dong, Peng Wang:
Surrogate-assisted hierarchical learning water cycle algorithm for high-dimensional expensive optimization. Swarm Evol. Comput. 75: 101169 (2022) - [j12]Siqing Sun, Baowei Song, Peng Wang, Huachao Dong, Xiao Chen:
Real-Time Mission-Motion Planner for Multi-UUVs Cooperative Work Using Tri-Level Programing. IEEE Trans. Intell. Transp. Syst. 23(2): 1260-1273 (2022) - [c2]Weixi Chen, Huachao Dong, Peng Wang, Xiaozuo Liu:
Blended-wing-body underwater glider shape transfer optimization. CEC 2022: 1-7 - 2021
- [j11]Huachao Dong, Peng Wang, Xinkai Yu, Baowei Song:
Surrogate-assisted teaching-learning-based optimization for high-dimensional and computationally expensive problems. Appl. Soft Comput. 99: 106934 (2021) - [j10]Huachao Dong, Peng Wang, Weixi Chen, Baowei Song:
SGOP: Surrogate-assisted global optimization using a Pareto-based sampling strategy. Appl. Soft Comput. 106: 107380 (2021) - [j9]Huachao Dong, Peng Wang, Chongbo Fu, Baowei Song:
Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems. Inf. Sci. 556: 404-435 (2021) - [j8]Huachao Dong, Jinglu Li, Peng Wang, Baowei Song, Xinkai Yu:
Surrogate-guided multi-objective optimization (SGMOO) using an efficient online sampling strategy. Knowl. Based Syst. 220: 106919 (2021) - [j7]Jie Liu, Huachao Dong, Peng Wang:
Multi-fidelity global optimization using a data-mining strategy for computationally intensive black-box problems. Knowl. Based Syst. 227: 107212 (2021) - 2020
- [j6]Caihua Chen, Peng Wang, Huachao Dong, Xinjing Wang:
Hierarchical Learning Water Cycle Algorithm. Appl. Soft Comput. 86 (2020) - [j5]Huachao Dong, Peng Wang, Baowei Song, Yijin Zhang, Xiaoyi An:
Kriging-assisted Discrete Global Optimization (KDGO) for black-box problems with costly objective and constraints. Appl. Soft Comput. 94: 106429 (2020) - [j4]Huachao Dong, Zuomin Dong:
Surrogate-assisted grey wolf optimization for high-dimensional, computationally expensive black-box problems. Swarm Evol. Comput. 57: 100713 (2020)
2010 – 2019
- 2019
- [c1]Caihua Chen, Peng Wang, Huachao Dong, Xinjing Wang:
Enhanced Water Cycle Algorithm with Active Learning and Return Strategy. CEC 2019: 634-640 - 2018
- [j3]Huachao Dong, Chengshan Li, Baowei Song, Peng Wang:
Multi-surrogate-based Differential Evolution with multi-start exploration (MDEME) for computationally expensive optimization. Adv. Eng. Softw. 123: 62-76 (2018) - [j2]Huachao Dong, Baowei Song, Peng Wang, Zuomin Dong:
Hybrid surrogate-based optimization using space reduction (HSOSR) for expensive black-box functions. Appl. Soft Comput. 64: 641-655 (2018) - [j1]Huachao Dong, Baowei Song, Zuomin Dong, Peng Wang:
SCGOSR: Surrogate-based constrained global optimization using space reduction. Appl. Soft Comput. 65: 462-477 (2018)
Coauthor Index
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last updated on 2024-09-28 02:22 CEST by the dblp team
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