In this algorithm, real chromosomes were inversely mapped to Qbits in the solution space. Qbits probability guided real cross and chaos mutation were used to real chromosomes evolution and searching.
该算法在解空间内将实数染色体通过反向变换映射到量子位，采用量子位概率指导的实数交叉与混沌变异相结合的方法对实数染色体进行演化搜索。
The algorithm makes fully use of initial value sensitivity and track ergodicity of chaos, overcoming the disadvantage of big searching dead zone existed in conventional chaotic mutation model.
该算法充分利用混沌的初值敏感性和轨道遍历性，克服了已有混沌变异模型存在搜索盲区大的缺点。
The algorithm used natural number coding method with dynamically adjustment for the probability coefficients of crossover and mutation, and used chaos optimization method as the mut.
对于模型的求解方法，构造了一种自适应的混沌遗传算法，采用自然数编码方式，动态的在线调整算法的交叉和变异概率，并采用混沌优化方法作为变异算子。
The algorithm used natural number coding method with dynamically adjustment for the probability coefficients of crossover and mutation, and used chaos optimization method as the mut.
对于模型的求解方法，构造了一种自适应的混沌遗传算法，采用自然数编码方式，动态的在线调整算法的交叉和变异概率，并采用混沌优化方法作为变异算子。
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