| 果蝇优化算法研究综述 |
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| 引用本文： | 李少波,赵 辉,张成龙,郑 凯.果蝇优化算法研究综述[J].科学技术与工程,2018,18(1). |
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| 作者姓名： | 李少波 赵 辉 张成龙 郑 凯 |
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| 作者单位： | 贵州大学机械工程学院,贵州大学机械工程学院,贵州大学大数据与信息工程学院,贵州大学机械工程学院 |
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| 基金项目： | 国家自然科学(51475097)；工信部智能制造示范项目(工信部联装[2016]213号)；贵州省基础研究重大项目(黔科合JD字[2014]2001)；贵州大学研究生创新基地项目(贵大研CXJD[2015]003)。 |
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| 摘 要： | 果蝇优化算法(FOA)是一种新兴的群体智能算法,其思想来源于果蝇群体觅食行为。为进一步推广应用FOA并为深入研究该算法提供相关资料,在分析FOA基本原理和优缺点的基础上,从FOA各种改进技术及其应用等方面进行深入调查,论述了该算法的改进策略,并阐述了FOA在复杂函数优化、参数优化和组合优化等方面的应用。最后对FOA发展趋势做出展望。
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| 关 键 词： | 果蝇优化算法 改进策略 应用研究 |
| 收稿时间： | 2017/6/17 0:00:00 |
| 修稿时间： | 2017/8/30 0:00:00 |
Literature survey of fruit fly optimization algorithm |
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| lishaobo,and.Literature survey of fruit fly optimization algorithm[J].Science Technology and Engineering,2018,18(1). |
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| Authors: | lishaobo and |
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| Affiliation: | GuiZhou University ,school of mechnical engineering,,, |
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| Abstract: | Fruit Fly Optimization Algorithm (FOA) is a new group of intelligent algorithms, the idea of fruit fly from the group foraging behavior. In order to further popularize and apply FOA and provide relevant information for further study of the algorithm, based on the analysis of FOA basic principle and advantages and disadvantages, this paper discusses the improvement strategy of FOA from various aspects of improvement technology and its application, And the application of FOA in complex function optimization, parameter optimization and combinatorial optimization is expounded. Finally, the development trend of FOA to make a prospect. |
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| Keywords: | fruit fly optimization algorithm improve strategy applied research |
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