CASIA OpenIR  > 精密感知与控制研究中心  > 人工智能与机器学习
A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization
Wang, Yechuang1; Wang, Penghong1; Zhang, Jiangjiang1; Cui, Zhihua1; Cai, Xingjuan1; Zhang, Wensheng2; Chen, Jinjun3
Source PublicationMATHEMATICS
ISSN2227-7390
2019-02-01
Volume7Issue:2Pages:17
Corresponding AuthorCui, Zhihua(zhihua.cui@hotmail.com)
AbstractA bat algorithm (BA) is a heuristic algorithm that operates by imitating the echolocation behavior of bats to perform global optimization. The BA is widely used in various optimization problems because of its excellent performance. In the bat algorithm, the global search capability is determined by the parameter loudness and frequency. However, experiments show that each operator in the algorithm can only improve the performance of the algorithm at a certain time. In this paper, a novel bat algorithm with multiple strategies coupling (mixBA) is proposed to solve this problem. To prove the effectiveness of the algorithm, we compared it with CEC2013 benchmarks test suits. Furthermore, the Wilcoxon and Friedman tests were conducted to distinguish the differences between it and other algorithms. The results prove that the proposed algorithm is significantly superior to others on the majority of benchmark functions.
Keywordbat algorithm (BA) bat algorithm with multiple strategy coupling (mixBA) CEC2013 benchmarks Wilcoxon test Friedman test
DOI10.3390/math7020135
WOS KeywordINSPIRED ALGORITHM ; FIREFLY ALGORITHM
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61663028] ; Natural Science Foundation of Shanxi Province[201801D121127] ; Scientific and Technological innovation Team of Shanxi Province[201805D131007] ; PhD Research Startup Foundation of Taiyuan University of Science and Technology[20182002] ; Zhejiang Provincial Natural Science Foundation of China[Y18F030036] ; National Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[U1636220] ; National Natural Science Foundation of China[61663028] ; Natural Science Foundation of Shanxi Province[201801D121127] ; Scientific and Technological innovation Team of Shanxi Province[201805D131007] ; PhD Research Startup Foundation of Taiyuan University of Science and Technology[20182002] ; Zhejiang Provincial Natural Science Foundation of China[Y18F030036]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Shanxi Province ; Scientific and Technological innovation Team of Shanxi Province ; PhD Research Startup Foundation of Taiyuan University of Science and Technology ; Zhejiang Provincial Natural Science Foundation of China
WOS Research AreaMathematics
WOS SubjectMathematics
WOS IDWOS:000460802500025
PublisherMDPI
Citation statistics
Cited Times:90[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24973
Collection精密感知与控制研究中心_人工智能与机器学习
Corresponding AuthorCui, Zhihua
Affiliation1.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligent Lab, Taiyuan 030024, Shanxi, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China
3.Swinburne Univ Technol, Dept Comp Sci & Software Engn, Melbourne, Vic 3000, Australia
Recommended Citation
GB/T 7714
Wang, Yechuang,Wang, Penghong,Zhang, Jiangjiang,et al. A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization[J]. MATHEMATICS,2019,7(2):17.
APA Wang, Yechuang.,Wang, Penghong.,Zhang, Jiangjiang.,Cui, Zhihua.,Cai, Xingjuan.,...&Chen, Jinjun.(2019).A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization.MATHEMATICS,7(2),17.
MLA Wang, Yechuang,et al."A Novel Bat Algorithm with Multiple Strategies Coupling for Numerical Optimization".MATHEMATICS 7.2(2019):17.
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