洪维强
个人信息
Personal information
教授 博士生导师
教师英文名称：Hong Wei-Chiang
教师拼音名称：hwq
所在单位：船舶工程学院
职务：Professor
性别：男
学位：管理学博士学位
在职信息：在职
主要任职：Doctoral supervisor
其他任职：Associate Editor for Applied Soft Computing
毕业院校：Da Yeh University
学科：船舶与海洋结构物设计制造曾获荣誉
2025 全球 2% 科学家(年度与终身)
2024 全球 2% 科学家(年度与终身)
2023 全球 2% 科学家(年度与终身)
2022 全球 2% 科学家(年度与终身)
2021 全球 2% 科学家(年度与终身)
2020 全球 2% 科学家(年度与终身)
2019 全球 2% 科学家(年度与终身)
2025 ScholarGPS®全球前 0.05%预测专业学者
2024 ScholarGPS®全球前 0.05%预测专业学者
2023 ScholarGPS®全球前 0.05%预测专业学者
2022 ScholarGPS®全球前 0.05%预测专业学者
2026 全球前十万科学家
2023 全球前十万科学家
2023 第21届徐有庠基金会杰出教授奖
2014 第12届徐有庠基金会杰出教授奖
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影响因子：5.7
DOI码：10.1007/s11071-023-09246-4
所属单位：哈尔滨工程大学船舶工程学院
发表刊物：Nonlinear Dynamics
刊物所在地：美国
项目来源：The work is supported by the following project grants, Heilongjiang Excellent Youth Fund Project (YQ
关键字：Chaotic mapping; Quantum accelerated; Differential evolutionary; Wild horse optimizer (WHO)
摘要：Wild horse optimizer (WHO) features a simple structure with few parameters, facilitating fast convergence. However, it suffers from low global search efficiency and struggles to escape local optima during late-stage re-evolution. To address WHO’s underutilization of individuals within the population, a quantum-accelerated search algorithm was developed to enhance individual search capabilities. Moreover, a global perturbation strategy based on chaotic mapping was introduced to overcome the challenge of escaping local optima. To improve the algorithm's search efficiency, an adaptive evolution strategy was formulated. Finally, introduce the novel hybrid optimization algorithm, named chaotic quantum nonlinear differential wild horse optimizer (CQND-WHO). In this study, we tested CQND-WHO using 23 classical test suites, the CEC2014 and CEC2017 benchmarks. The results demonstrate that the improved strategy effectively addresses WHO's shortcomings. Furthermore, when compared to other optimization algorithms considered in this study, CQND-WHO exhibits significantly enhanced convergence accuracy and efficiency in solving high-dimensional complex multi-peak problems, offering a novel approach to addressing multidimensional complex multi-peak problems.
备注：The work is supported by the following project grants, Heilongjiang Excellent Youth Fund Project (YQ2021E015); Natural Science Foundation of Heilongjiang Province of China (ZD2022E002); Hainan Province’s Key Research and Development Project (ZDYF2023GXJS017); National Natural Science Foundation of China (No.51509056); National Science and Technology Council, Taiwan (MOST 111-2410-H161-001).
合写作者：王宇田,杨忠仪,Hsin-Pou Huang,李向阳
第一作者：李明伟
论文类型：期刊论文
通讯作者：洪维强
学科门类：工学
文献类型：J
卷号：112
页面范围：4899-4927
ISSN号：0924-090X
是否译文：否
发表时间：2024
收录刊物：SCI
发布期刊链接：https://link.springer.com/article/10.1007/s11071-023-09246-4