The natural number coding, the random population selection, the simple crossover strategy of "two-parents-and-one-kid" and the fixed mutation probability were totally adopted.
在算法中采用了自然数编码、随机选取种群、简单的“双亲单子”交叉策略和固定的突变概率。
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。
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。
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