發(fā)布時間：2018-05-21 18:00

  本文選題：鴿群優(yōu)化 + 鴿群歸巢��； 參考：《北京工業(yè)大學(xué)學(xué)報》2017年01期

【摘要】：仿生智能優(yōu)化一直是智能計算領(lǐng)域的一個熱門研究領(lǐng)域,在生命科學(xué)、系統(tǒng)科學(xué)、控制科學(xué)、計算機科學(xué)、管理科學(xué)和社會科學(xué)等學(xué)科均已得到了廣泛應(yīng)用.鴿群優(yōu)化(pigeon-inspired optimization,PIO)算法是近年來才出現(xiàn)的一種群體智能優(yōu)化算法,它是受自然界中鴿群自主歸巢行為的啟發(fā)而提出的.因此,對自然界中的鴿群機制和鴿群優(yōu)化算法基本原理進行了闡述,介紹了鴿群優(yōu)化模型,并對其在無人機(unmanned aerial vehicle,UAV)編隊、控制參數(shù)優(yōu)化、圖像處理等領(lǐng)域的典型應(yīng)用進行了評述,最后展望了未來的發(fā)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.
【作者單位】： 北京航空航天大學(xué)自動化科學(xué)與電氣工程學(xué)院;
【基金】：航空科學(xué)基金資助項目(2015ZA51013)
【分類號】：TP18
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本文編號：1920209