Introduction - If you have any usage issues, please Google them yourself
procedures GA GA (GeneticA lgorithm. A G) is a massively parallel search algorithm, It simulated by Darwin's "survival of the fittest" law of evolution and random information exchange ideas, to follow the example of biological genetic, randomly generated from the initial solutions group, began searching process. Groups of individuals known as chromosome, which is a bunch of symbols, it is a binary string, it can also be a decimal string or other code created by the code string. On behalf of the father (the current generation) groups for the crossover and mutation operation. According to the individual fitness [fitness), select Options, Adaptation to high-level individuals have a higher probability of being selected and copied to the next generation, so the offspring are usual