战时血液保障组织资源优化的遗传算法模型

Genetic Algorithm Model of Resource Optimal Configuration in Wartime Information Systems of Blood Security Organizations

资源优化配置是战时血液保障组织系统系统中的一个重点，也是一个难点问题。本文在对传统算法模型在解决优化配置问题上的缺陷进行分析和研究的基础上，提出一个基于并行遗传算法的资源优化配置算法模型。考虑到血液保障组织系统系统中资源的特殊性．编码方式采用二进制编码，并行模型为粗粒度并行模型。该模型不但可以在血液全生命周期中的每个环节选1个或多个机构参加，而且不会遗漏任何一个可行的优化配置方案。最后通过具体实例以说明该模型的有效性。

The optimal configuration of resources not only was a prior problem but also was a difficult issue to the wartime information systems of blood security organizations. In this paper, the defects in resolving optimal configuration with traditional algorithm model were analyzed, and an algorithm model was proposed based on parallel genetic algorithm. In view of resource particularity in wartime information systems of blood security organizations, binary system coding mode and coarse granularity parallel model were adopted. With the model, one or more organization could be selected in every process in the full hfe cycle of blood, and no possible configuration approach could be omitted.The feasibility and advantages of the model were demonstrated. Finally, the validity of the model was confirmed by using a concrete case.