Introduction - If you have any usage issues, please Google them yourself
SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum is) and support for floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform Cross, floating-point crossover single point mutation, floating-point mutation