Learning matrices of evolutionary operators in genetic algorithm

Learning is the core of intelligence algorithm. Genetic algorithm (GA), as an intelligent algorithm, has its own learning mechanism. This paper focuses on the learning matrix of evolutionary operators in GA. From the viewpoint of solution generation, the learning mechanism in GA is studied and the matrix expression of recombination and mutation is given. A new insight of GA from learning viewpoint is provided and paves necessary study foundation for studying of the learning mechanism of GA.