Binary-coded genetic algorithm optimization problems can be analyzed, such as multi-target array antenna

GA-fortran
..........\GADataModule.f90
..........\Release
..........\array_output.f
..........\decode.f
..........\evalout.f
..........\ga.inp
..........\ga.out
..........\ga.restart
..........\ga2.inp
..........\gafortran.dsp
..........\gafortran.dsw
..........\gafortran.for
..........\gafortran.ncb
..........\gafortran.opt
..........\gafortran.plg
..........\gamicro.f
..........\generalfunc.f
..........\initial.f
..........\input
..........\.....\imag1.txt
..........\.....\imag2.txt
..........\.....\imag3.txt
..........\.....\phase_0_0.txt
..........\.....\phase_8_0.txt
..........\.....\phase_8_90.txt
..........\.....\real1.txt
..........\.....\real2.txt
..........\.....\real3.txt
..........\input.f
..........\niche.f
..........\output
..........\......\192Vov1.txt
..........\......\192Vovbak.txt
..........\......\192Vovbak.txt.bak
..........\......\192_ibestbak.txt
..........\......\优化三维阵因子1.txt
..........\......\优化三维阵因子2.txt
..........\......\优化三维阵因子3.txt
..........\params.f
..........\readme.txt
..........\restart.f
..........\select_cross_Mutate.f

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