Description: Basic Course genetic algorithm, can be freely modified mutation probability, crossover probability, the number of iterations
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..........\best.m
..........\calfitvalue.m
..........\calobjvalue.asv
..........\calobjvalue.m
..........\crossover.asv
..........\crossover.m
..........\decodebinary.m
..........\decodechrom.m
..........\gamain.asv
..........\gamain.m
..........\initpop.m
..........\mutation.m
..........\newcalfitvalue.m
..........\newcalobjvalue.m
..........\selection.m
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