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；
In the HGA , heuristic algorithm is used to produced initial population , self-adaptive parameter are used in copy operator, crossover operator and mutation operator .
本文在其基础上考虑了每个零部件的需求量不同所带来的影响，提出了一种基于精英策略和自适应性的混合遗传算法。
The M-elite coevolutionary algorithm (MECA) is proposed for high-dimensional unconstrained numerical optimization problems based on the concept of coevolutionary algorithm and elitist strategy.
本文在其基础上考虑了每个零部件的需求量不同所带来的影响，提出了一种基于精英策略和自适应性的混合遗传算法。
The M-elite coevolutionary algorithm (MECA) is proposed for high-dimensional unconstrained numerical optimization problems based on the concept of coevolutionary algorithm and elitist strategy.
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