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.
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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