本文選題：布谷鳥搜索算法(CS)　切入點：RNA莖環(huán)交叉算子　出處：《浙江大學(xué)學(xué)報(工學(xué)版)》2017年07期

【摘要】：為了提高算法的全局搜索能力,受RNA二級結(jié)構(gòu)的啟發(fā),設(shè)計RNA莖環(huán)交叉算子,采用基于進化代數(shù)的自適應(yīng)步長策略,提出RNA交叉操作布谷鳥搜索算法(cRNA-CS).將cRNA-CS算法用于對5個典型測試函數(shù)進行尋優(yōu).測試結(jié)果表明,cRNA-CS算法的搜索能力和尋優(yōu)精度相對于CS算法和其他改進的CS算法有了明顯提高.將cRNA-CS算法用于橋式吊車系統(tǒng)PID控制器參數(shù)的優(yōu)化整定.仿真實驗結(jié)果表明,與CS算法、單純形算法和PSO算法相比,采用cRNA-CS算法優(yōu)化的PID控制器能夠?qū)崿F(xiàn)橋式吊車系統(tǒng)更好的消擺和定位控制.
[Abstract]:In order to improve the global search ability of the algorithm and inspired by the secondary structure of RNA, the RNA stem ring crossover operator is designed, and the adaptive step size strategy based on evolutionary algebra is adopted. A RNA cross-operation cuckoo search algorithm is proposed. The cRNA-CS algorithm is used to optimize five typical test functions. The test results show that the searching ability and precision of the Cuckoo search algorithm are better than those of CS algorithm and other improved CS algorithms. The cRNA-CS algorithm is used to optimize the parameters of PID controller in bridge crane system. The simulation results show that, Compared with CS algorithm, simplex algorithm and PSO algorithm, the PID controller optimized by cRNA-CS algorithm can achieve better swing elimination and positioning control in bridge crane system.
【作者單位】： 閩南師范大學(xué)物理與信息工程學(xué)院;浙江大學(xué)工業(yè)控制技術(shù)國家重點實驗室;
【基金】：國家“十二五”科技支撐計劃資助項目(2013BAF07B03) 國家自然科學(xué)基金資助項目(61573311,61403356) 福建省中青年教師教育科研資助項目(JAT160285)
【分類號】：TP18;TP273
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本文編號：1700385