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针对标准遗传算法的不收敛性，提出了几种改进措施：提出了共同特征位的概念，给出消除群体中的共同特征位的方法；交叉和变异概率可变；实施最优保留。实验表明，改进算法具有全局优化能力。
Aiming at the nonconvergence of standard genetic algorithm, several improvements are proposed: the concept of common feature bits is proposed, the method of eliminating common feature bits in groups is given, the probability of crossover and mutation is variable, and the optimal reservation is implemented. Experiments show that the improved algorithm has global optimization ability.