| 果蝇优化算法研究综述 |
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| 引用本文： | 王林,吕盛祥,曾宇容.果蝇优化算法研究综述[J].控制与决策,2017,32(7):1153-1162. |
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| 作者姓名： | 王林 吕盛祥 曾宇容 |
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| 作者单位： | 华中科技大学管理学院,武汉430074,华中科技大学管理学院,武汉430074,华中科技大学管理学院,武汉430074;湖北经济学院信息工程学院,武汉430205 |
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| 基金项目： | 国家自然科学基金项目(71371080,71531009). |
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| 摘 要： | 作为一种新兴的群体智能算法,果蝇优化算法(FOA)因其简单有效而在诸多领域得到成功应用.分析FOA的搜索原理和优缺点,围绕目前的改进和相关应用进行综述.重点讨论FOA改进策略,包括改进搜索半径,改进候选解的生成机制、多种群策略等,以及FOA在复杂函数优化、组合优化和参数优化等方面的应用.最后给出FOA在算法改进和实际应用方面研究的新思路.
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| 关 键 词： | 果蝇优化算法 搜索机制 搜索改进 复杂问题优化 |
Literature survey of fruit fly optimization algorithm |
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| WANG Lin,LV Sheng-xiang and ZENG Yu-rong.Literature survey of fruit fly optimization algorithm[J].Control and Decision,2017,32(7):1153-1162. |
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| Authors: | WANG Lin LV Sheng-xiang and ZENG Yu-rong |
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| Affiliation: | School of Management,Huazhong University of Science and Technology,Wuhan 430074,China,School of Management,Huazhong University of Science and Technology,Wuhan 430074,China and School of Management,Huazhong University of Science and Technology,Wuhan 430074,China;School ofInformation Engineering, Hubei University of Economics,Wuhan 430205,China |
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| Abstract: | As a new kind of swarm intelligent algorithm, fruit fly optimization algorithm(FOA) has been successfully applied in a variety of fields because of its simplicity and effectiveness. In this paper, a complete survey on FOA in aspect of the search mechanism, relative merits, improvements and applications is presented. The studies on FOA about its improvements including the search step size, solution generation mechanism, and multi-swarm strategies are especially discussed. The applications status of FOA in aspect of complex function optimization, combinatorial optimization, parameter optimization is summarized. Finally, some novel research directions about the improvements and applications of FOA are given. |
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