Genetic algorithm (GA) is a search algorithm for solving optimization problems and is an important part of evolutionary algorithms (EA). The main purpose of this research is to improve the mathematical modeling of GA, and to explore how to overcome the shortcomings of traditional algorithms under the Schema Theorem. The research results show that the improved GA can be more widely applied to the optimization problems and play an important role in solving practical problems.
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