Theoretical Analysis and Simulation Results of the Adaptive Genetic Algorithm
Sun Jianyong, Shen Jianzhong, Xu Zongben
(Xi'an Jiaotong University, Xi'an 710049,China)

Abstract: It is proved that the adaptive algorithm proposed by Sun et al is converged on probability. The algorithm is also experimentally compared with the non-uniform genetic algorithm proposed by Michalewicz and the forking genetic algorithm developed by Tsutsui et al. The simulations indicate that the new algorithm performs much more efficiently and effectively than the two well-known genetic algorithms.
Keywords: self-adaptive GAs;convergence analysis;real-coded GA