Use Matlab programming, the reference function global optimization.

lsgo_benchmark-matlab_version
.............................\20140152251.mat
.............................\20140415.mat
.............................\benchmark_func.m
.............................\datafiles
.............................\.........\f01_o.mat
.............................\.........\f02_o.mat
.............................\.........\f03_o.mat
.............................\.........\f04_opm.mat
.............................\.........\f05_opm.mat
.............................\.........\f06_opm.mat
.............................\.........\f07_op.mat
.............................\.........\f08_op.mat
.............................\.........\f09_opm.mat
.............................\.........\f10_opm.mat
.............................\.........\f11_opm.mat
.............................\.........\f12_op.mat
.............................\.........\f13_op.mat
.............................\.........\f14_opm.mat
.............................\.........\f15_opm.mat
.............................\.........\f16_opm.mat
.............................\.........\f17_op.mat
.............................\.........\f18_op.mat
.............................\.........\f19_o.mat
.............................\.........\f20_o.mat
.............................\demoEA.m
.............................\DGA.asv
.............................\DGA.m
.............................\group-data.mat
.............................\grouping.m
.............................\Grouping1.asv
.............................\Grouping1.m
.............................\javarandom
.............................\..........\bin
.............................\..........\...\Randomizer.class
.............................\..........\src
.............................\readme.txt

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