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.%Considering the demand and supply of library books,a purchasing algorithm based on book duplicates is put for-ward to optimize the book purchasing. The book refused rate,turnover rate and utilization rate are used to describe the circulation utility index of library book. The index is adopted to understand the utilized degree of the book and satisfaction degree of readers. According to the needs of readers for books,the book circulation utility marginal function is employed to optimize the purchasing decision of book duplicates. According to the purchasing optimization decision of book duplicates,the book purchasing algorithm based on genetic algorithm is used to treat the book duplicates as an initial population. The selection,crossover and mutation are executed repeatedly to make the initial population update and evolution close to the optimal solution or satisfactory solution of book duplicates. In combination with the priority degree of readers for books selection,the books purchasing is optimized. The experimental results show that the book purchasing algorithm can optimize the purchasing target effectively.
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