【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(lái)源于果蠅群體覓食行為。為進(jìn)一步推廣應(yīng)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(diǎn)的基礎(chǔ)上,從FOA各種改進(jìn)技術(shù)及其應(yīng)用等方面進(jìn)行深入調(diào)查,論述了該算法的改進(jìn)策略,并闡述了FOA在復(fù)雜函數(shù)優(yōu)化、參數(shù)優(yōu)化和組合優(yōu)化等方面的應(yīng)用。最后對(duì)FOA發(fā)展趨勢(shì)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(xué)機(jī)械工程學(xué)院;貴州大學(xué)大數(shù)據(jù)與信息工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(51475097) 工信部智能制造示范項(xiàng)目(工信部聯(lián)裝[2016]213) 貴州省基礎(chǔ)研究重大項(xiàng)目(黔科合JD字[2014]2001) 貴州大學(xué)研究生創(chuàng)新基地項(xiàng)目(貴大研CXJD[2015]003)資助
【分類號(hào)】：TP18

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