At the same time adaptive crossover and mutation strategy for GA is studied, and parameters for GA used in weights assignment algorithm are presented.
同时研究了遗传算法中交叉和变异的自适应策略，并给出了适合在线权重分配遗传算法的参数。
We proved the convergence of GA which we proposed adaptive fitness functions, adaptive crossover probability and adaptive mutation probability.
最后，对提出的自适应交叉概率和自适应变异概率利用遗传算法的公理化理论进行了收敛性的证明。
This paper proposes the array chain chromosome coding and the Adaptive GA (AGA) that combines the self-adaptive mutation probability and simulation anneal punishment function.
提出了数组链染色体编码方式，以及基于自适应性变异概率和模拟退火惩罚函数法的适应性遗传算法（AGA）。
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