果蠅優(yōu)化算法研究綜述
發(fā)布時間:2019-05-28 18:31
【摘要】:果蠅優(yōu)化算法(FOA)是一種新興的群體智能算法,其思想來源于果蠅群體覓食行為。為進一步推廣應用FOA并為深入研究該算法提供相關(guān)資料,在分析FOA基本原理和優(yōu)缺點的基礎上,從FOA各種改進技術(shù)及其應用等方面進行深入調(diào)查,論述了該算法的改進策略,并闡述了FOA在復雜函數(shù)優(yōu)化、參數(shù)優(yōu)化和組合優(yōu)化等方面的應用。最后對FOA發(fā)展趨勢做出展望。
[Abstract]:Drosophila melanogaster optimization algorithm (FOA) is a new swarm intelligence algorithm, whose idea comes from the foraging behavior of Drosophila melanogaster population. In order to further popularize and apply FOA and provide relevant data for further study of the algorithm, on the basis of analyzing the basic principle, advantages and disadvantages of FOA, various improvement techniques of FOA and their applications are investigated deeply, and the improvement strategy of the algorithm is discussed. The application of FOA in complex function optimization, parameter optimization and combinatorial optimization is also described. Finally, the development trend of FOA is prospected.
【作者單位】: 貴州大學機械工程學院;貴州大學大數(shù)據(jù)與信息工程學院;
【基金】:國家自然科學基金(51475097) 工信部智能制造示范項目(工信部聯(lián)裝[2016]213) 貴州省基礎研究重大項目(黔科合JD字[2014]2001) 貴州大學研究生創(chuàng)新基地項目(貴大研CXJD[2015]003)資助
【分類號】:TP18
本文編號:2487267
[Abstract]:Drosophila melanogaster optimization algorithm (FOA) is a new swarm intelligence algorithm, whose idea comes from the foraging behavior of Drosophila melanogaster population. In order to further popularize and apply FOA and provide relevant data for further study of the algorithm, on the basis of analyzing the basic principle, advantages and disadvantages of FOA, various improvement techniques of FOA and their applications are investigated deeply, and the improvement strategy of the algorithm is discussed. The application of FOA in complex function optimization, parameter optimization and combinatorial optimization is also described. Finally, the development trend of FOA is prospected.
【作者單位】: 貴州大學機械工程學院;貴州大學大數(shù)據(jù)與信息工程學院;
【基金】:國家自然科學基金(51475097) 工信部智能制造示范項目(工信部聯(lián)裝[2016]213) 貴州省基礎研究重大項目(黔科合JD字[2014]2001) 貴州大學研究生創(chuàng)新基地項目(貴大研CXJD[2015]003)資助
【分類號】:TP18
【相似文獻】
相關(guān)碩士學位論文 前2條
1 吳易軒;果蠅優(yōu)化算法改進及應用研究[D];廣西民族大學;2017年
2 左詞立;基于云模型的果蠅優(yōu)化算法及應用研究[D];湖南科技大學;2017年
,本文編號:2487267
本文鏈接:http://www.sikaile.net/kejilunwen/zidonghuakongzhilunwen/2487267.html
最近更新
教材專著