鸽群优化算法研究进展

发布时间：2018-05-21 18:00

  本文选题：鸽群优化 + 鸽群归巢　； 参考：《北京工业大学学报》2017年01期

【摘要】：仿生智能优化一直是智能计算领域的一个热门研究领域,在生命科学、系统科学、控制科学、计算机科学、管理科学和社会科学等学科均已得到了广泛应用.鸽群优化(pigeon-inspired optimization,PIO)算法是近年来才出现的一种群体智能优化算法,它是受自然界中鸽群自主归巢行为的启发而提出的.因此,对自然界中的鸽群机制和鸽群优化算法基本原理进行了阐述,介绍了鸽群优化模型,并对其在无人机(unmanned aerial vehicle,UAV)编队、控制参数优化、图像处理等领域的典型应用进行了评述,最后展望了未来的发展方向.
[Abstract]:Bionic intelligent optimization has been a hot research field in the field of intelligent computing. It has been widely used in life science, systems science, control science, computer science, management science and social science. Pigeon swarm optimization (pigeon-spired optimization PIO) algorithm is a swarm intelligence optimization algorithm that has emerged in recent years. It is inspired by the homing behavior of pigeon groups in nature. Therefore, the mechanism of pigeon swarm and the basic principle of pigeon swarm optimization algorithm in nature are expounded, the pigeon swarm optimization model is introduced, and the control parameters are optimized for the formation of unmanned aerial vehicle (UAV). The typical applications of image processing and other fields are reviewed. Finally, the future development is prospected.
【作者单位】： 北京航空航天大学自动化科学与电气工程学院;
【基金】：航空科学基金资助项目(2015ZA51013)
【分类号】：TP18
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本文编号：1920209