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）。
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.
采用具有层次结构染色体编码方式的遗传算法来设计模糊控制器，实现了语言控制规则的自动生成和隶属函数参数的自动整定。
By using the genetic algorithms with hierarchical chromosome structures, rule generation and para - (meter) tuning of the fuzzy controller can be achieved simultaneously.
该算法采用量子比特概率编码方式构造染色体，由量子旋转门操作实现种群进化。
This algorithm codes the chromosomes in the way of quantum bit probability, and makes the population evolve by the operation of quantum gate.
该算法使用数组方式编码染色体，并采用非常规码的交叉和变异运算因子。
It encodes the chromosome as an array of integers, and USES irregular crossover and mutation operations.
在进化过程中采用格雷编码作为染色体的编码方式，并提出了染色体长度的确定方法。
Gray code was adopted to encode chromosome. A method to determine the length of chromosome is present.
同时通过具体的查询实例说明其左深度连接树和浓密连接树的染色体编码方法，并基于该编码方式进一步确定了基本遗传算法中其它的七个变元。
The methods of chromosome coding on left-deep join tree and bushy join tree are showed by query instances, and further other seven parameters of basic genetic algorithms are determined by t…
同时通过具体的查询实例说明其左深度连接树和浓密连接树的染色体编码方法，并基于该编码方式进一步确定了基本遗传算法中其它的七个变元。
The methods of chromosome coding on left-deep join tree and bushy join tree are showed by query instances, and further other seven parameters of basic genetic algorithms are determined by t…
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