CGA is obtained by using randomness, ergodicity and regularity of chaos in order to solve the asymmetric of individual distributions in solution domain.

• 为了消除遗传算法中个体在解空间内分布的不均匀性，利用混沌的随机性、遍历性和规律性，将混沌引入到遗传算法中，由此得到了混沌遗传优化算法(CGA)；