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Immune Genetic Algorithm for the Fixed Charge Transportation Problem

机译:固定电荷运输问题的免疫遗传算法

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An immune genetic algorithm (IGA) for the fixed charge transportation problem is developed based on the immune theory in biology, which constructs an im-mune operator accomplished by two steps, a vaccina-tion and an immune selection. The methods for select-ing vaccines and constructing an immune operator are also proposed. The results of computation demonstrate that IGA can restrain the degenerate phenomenon and improve the search capability compared to genetic al-gorithm with matrix code and that with edge-set code greatly on large instances.
机译:基于生物学的免疫理论开发了固定电荷运输问题的免疫遗传算法(IGA),其构建了由两个步骤,疫苗和免疫选择完成的IM-Mune操作员。还提出了选择疫苗和构建免疫操作员的方法。计算结果表明,与矩阵代码的遗传AL-Gorithm相比,IGA可以抑制退化现象并改善搜索能力,并且在大型实例上大大借助于边缘集合代码。

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