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optimization techique using dragonfly technique

于 2022-03-19 发布 文件大小:2.11 kB
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代码说明:

clcclear allf=60;Th=1.0;Th1=0.08;Tt=3.0;Tt1=0.3;Tr1=10;Kr1=0.5;Kp=120;Tp=20;T=0.086;B=0.425;R=2.4;Ks=1.8;Ts=1.8;bg=0.049;cg=1;Tcr=0.01;Tcd=0.2;Tf=0.239;Yg=1.1;Xg=0.6;iter1=5;%DE和GWO的共同迭代我们可以增加这个Kmax=[0.4 0.4 0.4 0.4 0.4 0.4 0.4];%5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5.12 5%D=itermax;X1=Kmin+(Kmax-Kmin);vmax=0.15*(Kmax-Kmin)/2;vmin=-vmax;Y=vmin+(vmax-vmin);对于m=1:3,K泳gen=repmat(X1,NP,1)。*rand(NP,D); ;K=K泳gen"

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