果蝇优化算法研究进展

发布时间：2018-02-09 21:35

  本文关键词： 群智能 果蝇优化算法 知识驱动 协同 混合算法　出处：《控制理论与应用》2017年05期 　论文类型：期刊论文

【摘要】：作为一种新颖的群智能优化方法,受基于视觉和嗅觉的觅食行为的启发而提出的果蝇优化算法具有易理解和实现、控制参数少的特点.近年来果蝇优化算法的研究受到了广泛关注,果蝇优化算法及其变种在诸多工程优化领域得到了成功应用.阐述果蝇优化算法的设计思想与机制,重点综述果蝇优化算法的研究进展,包括维持种群多样性、知识驱动策略与协同机制的设计等方面的改进工作.同时,介绍果蝇优化算法在离散优化、多目标优化、不确定优化等方面的扩展性研究工作,并总结果蝇优化算法的代表性应用研究成果,最后指出在理论、设计、扩展、应用等方面未来进一步的研究方向和内容.
[Abstract]:As a novel swarm intelligence optimization method, Drosophila optimization algorithm, inspired by the foraging behavior based on vision and smell, is easy to understand and implement. In recent years, the research of Drosophila optimization algorithm has received extensive attention, and the Drosophila optimization algorithm and its varieties have been successfully applied in many fields of engineering optimization. The design idea and mechanism of Drosophila optimization algorithm are described. The research progress of Drosophila optimization algorithm is reviewed, including the improvement of population diversity, knowledge driven strategy and collaborative mechanism design. At the same time, the discrete optimization and multi-objective optimization of Drosophila optimization algorithm are introduced. The research work on expansibility of uncertain optimization and the research results of representative application of Drosophila optimization algorithm are summarized. Finally, the future research directions and contents in theory, design, extension and application are pointed out.
【作者单位】： 清华大学自动化系;
【基金】：国家重点研发计划(2016YFB0901900) 国家杰出青年科学基金(61525304)资助~~
【分类号】：TP18
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本文编号：1498912