Research on Fast Self-Adaptive Genetic Algorithm and Its Simulation
Xiaoli Yu · Acta Simulata Systematica Sinica · 2004
Genetic Algorithm (GA) is a general purpose stochastic optimization method for search problems, which is invented to mimic some of the processes and mechanisms observed in natural evolution. But Simple Genetic Algorithms instinct deficiency like the unusually slow convergence, bad stability and easily-oriented prematurity has become the biggest obstacle for its further application. To solve the above problems, the corresponding solution—FSAGA (Fast Self-Adaptive Genetic Algorithm) is presented in this paper. Through simulation, it has shown that the convergent speed and global convergence are clearly improved.