optimization techique using dragonfly technique

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"

agc_1_prog_dereg_da.m