改进GAs算法在大规模资源分配问题中的应用

采用改进ＧＡｓ算法建立了求解大规模规划的资源分配模型．针对大规模资源分配问题的具体特点，设计了合适的ＧＡｓ算子，并以实例验证了算法的合理性及有效性。

In this paper, based on analysis of traditional large  scale decompose  coordinate problem, an Improved Genetic Algorithms for solving large  scale resource allocation problem is proposed. In accordance with special features of large  scale resource allocation problem, some operators in GAs are selected and designed appropriately. Analysis and computational results of instances confirm its effectiveness.