A Self-adaptive Genetic Algorithm Based on Region Balance Variation

Proposing a new algorithm which is simple but effective. Using characteristic of biological evolution and common sense to design the selection operator, improve the variation method of the crossover probability and the mutation probability. Numerical experiments show that the new algorithm is more effective than the comparative algorithm in realizing the high convergence speed, convergence precision, reducing the convergence generation and good at keeping the stability of the adaptive genetic algorithm.