考虑图书馆图书供应需求的采购算法研究

发布时间：2019-01-05 06:40

【摘要】：考虑到图书馆的图书供应需求,提出基于图书复本量的采购算法,对图书进行优化采购。首先,通过图书的拒借率、周转率及利用率三个指标描述图书馆的流通效用指标,利用该指标了解图书被利用的程度大小关系及读者阅读的满意程度。根据读者对图书的需求,利用图书流通效用边际函数提出优选图书复本量采购决策;其次,根据复本量采购优化决策,利用基于遗传优化的图书采购算法,将图书复本量作为一个初始种群,通过不断重复执行选择、交叉和变异操作,使初始种群更新进化越来越接近图书复本量的最优解或满意解,并结合读者选择图书的优先程度完成优化采购图书的目的。实验证明,利用文中采购算法购买图书可有效实现优化采购目标。
[Abstract]:Considering the demand of library's book supply, this paper puts forward an algorithm of purchasing books based on the quantity of duplicate books, and optimizes the purchasing of books. First of all, the circulation utility index of the library is described by three indexes, namely, the rejection rate, the turnover rate and the utilization ratio of the books, and the relationship between the degree of the books being used and the readers' reading satisfaction is understood by this index. According to the readers' demand for books, this paper puts forward the purchasing decision of the duplicate volume of selected books by using the marginal function of book circulation utility. Secondly, according to the purchase optimization decision of duplicate quantity, using the book purchasing algorithm based on genetic optimization, the book copy quantity is regarded as an initial population, and the selection, crossover and mutation operations are repeated repeatedly. The evolution of initial population renewal is more and more close to the optimal solution or satisfactory solution of the volume of book duplicates, and the purpose of optimizing book purchasing is accomplished by combining the priority of readers to select books. The experiment proves that the optimal purchasing target can be realized effectively by purchasing books by using the algorithm in this paper.
【作者单位】：哈尔滨工业大学(威海);
【分类号】：G253;TP18

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