Techniques and software for modified genetic constrained optimization algorithm with binary encoding
Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia
The global constrained optimization problem is considered as applies to multivariable functions. It is suggested to solve this problem by means of genetic algorithm with binary coding. Recommendations are discussed to apply the algorithm. A software implementation of the algorithm is described as well as numerical experiment results using a bundle of test functions.
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