In the HGA , heuristic algorithm is used to produced initial population , self-adaptive parameter are used in copy operator, crossover operator and mutation operator .
混合遗传算法在产生初始种群时引入启发式方法，采用自适应遗传参数和交替使用两种交叉算子；
Wheel disk gambling selection operator, adaptive crossover and mutation operators are used as genetic operators.
其中遗传算子分别采用轮盘赌选择算子以及自适应的交叉和变异算子。
It introduces the natural number coding method, adaptive probabilities of crossover and mutation, and furthermore, makes use of heuristic information to improve search efficiency effectively.
算法采用自然数编码，自适应的交叉变异算子，并融入启发式信息有效地提高了搜索效率。
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。
It is composed of a simple and general purpose dynamic scaled fitness and selection operator, crossover operator, mutation operators and adaptive probabilities for these operators.
它由一种简单、适应面广的动态刻度适应值和选择算子、杂交与变异算子，以及这些算子相应的自适应概率组成。
The methods we proposed include adding deterministic simplex searching operation, improving the crossover operator, modifying adaptive crossover probability and adaptive mutation probability.
采用的相关技术包括增加单纯形寻优算子、运用改进的交叉算子、自适应地调整交叉率和变异率等。
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。
In the process of evolution, the adaptive crossover probability and mutation probability are developed.
在进化过程中采用自适应交叉概率和变异概率。
Based on these, the adaptive probabilities of crossover and mutation operation of an evolutionary individual are presented.
基于此，给出了进化个体的自适应交叉和变异概率。
Based on these, the adaptive probabilities of crossover and mutation operation of an evolutionary individual are presented.
基于此，给出了进化个体的自适应交叉和变异概率。
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