An Inverse Power Generation Mechanism Based Fruit Fly Algorithm for Function Optimization
文献类型：期刊论文
| 作者 | Liu Ao2,3,4; Deng Xudong2,3,4; Ren Liang2,3,4; Liu Ying5; Liu Bo1
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| 刊名 | JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
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| 出版日期 | 2019-04-01 |
| 卷号 | 32期号:2页码:634-656 |
| 关键词 | Evolutionary algorithms fruit fly optimization function optimization meta-heuristics |
| ISSN号 | 1009-6124 |
| DOI | 10.1007/s11424-018-7250-5 |
| 英文摘要 | As a novel population-based optimization algorithm, fruit fly optimization (FFO) algorithm is inspired by the foraging behavior of fruit flies and possesses the advantages of simple search operations and easy implementation. Just like most population-based evolutionary algorithms, the basic FFO also suffers from being trapped in local optima for function optimization due to premature convergence. In this paper, an improved FFO, named IPGS-FFO, is proposed in which two novel strategies are incorporated into the conventional FFO. Specifically, a smell sensitivity parameter together with an inverse power generation mechanism (IPGS) is introduced to enhance local exploitation. Moreover, a dynamic shrinking search radius strategy is incorporated so as to enhance the global exploration over search space by adaptively adjusting the searching area in the problem domain. The statistical performance of FFO, the proposed IPGS-FFO, three state-of-the-art FFO variants, and six metaheuristics are tested on twenty-six well-known unimodal and multimodal benchmark functions with dimension 30, respectively. Experimental results and comparisons show that the proposed IPGS-FFO achieves better performance than three FFO variants and competitive performance against six other meta-heuristics in terms of the solution accuracy and convergence rate. |
| 资助项目 | National Natural Science Foundation of China[71701156] ; National Natural Science Foundation of China[71390331] ; National Natural Science Foundation of China[71690242] ; Natural Science Foundation of Hubei Province of China[2017CFB427] ; Key Research Program of Frontier Sciences for Chinese Academy of Sciences[QYZDB-SSW-SYS020] ; Humanity and Social Science Youth Foundation of Ministry of Education of China[16YJCZH056] ; Hubei Province Department of Education Humanities and Social Sciences Research Project[17Q034] ; Open Funding of Center for Service Science and Engineering, Wuhan University of Science and Technology[CSSE2017KA01] ; Open Funding of Intelligent Information Processing and Real-time Industrial System[2016znss18B] ; Young Incubation Program of Wuhan University of Science and Technology[2016xz017] ; Young Incubation Program of Wuhan University of Science and Technology[2017xz031] |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000462987000012 |
| 出版者 | SPRINGER HEIDELBERG |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/34352]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Liu Bo |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 2.Wuhan Univ Sci & Technol, Sch Management, Wuhan 430065, Hubei, Peoples R China 3.Wuhan Univ Sci & Technol, Ctr Serv Sci & Engn, Wuhan 430065, Hubei, Peoples R China 4.Hubei Prov Key Lab Intelligent Informat Proc & Re, Wuhan 430065, Hubei, Peoples R China 5.Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu Ao,Deng Xudong,Ren Liang,et al. An Inverse Power Generation Mechanism Based Fruit Fly Algorithm for Function Optimization[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2019,32(2):634-656. |
| APA | Liu Ao,Deng Xudong,Ren Liang,Liu Ying,&Liu Bo.(2019).An Inverse Power Generation Mechanism Based Fruit Fly Algorithm for Function Optimization.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,32(2),634-656. |
| MLA | Liu Ao,et al."An Inverse Power Generation Mechanism Based Fruit Fly Algorithm for Function Optimization".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 32.2(2019):634-656. |
入库方式： OAI收割
来源：数学与系统科学研究院
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