An evolutionary approach to library materials acquisition problems

Abstract

This paper studies a library materials problem in which materials are served for satisfying the information need of its patrons. The objective is to maximize the average preferences of acquired subjects. We first formulated the problem by means of the mathematical programming. Without loss of generality, some empirical constraints are considered, including subject costs and the required amount of specified disciplines. We then design a particle swarm optimization to resolve the problem. CPLEX, a linear programming software package, was used to break down the small problems and provided optimal solutions for comparison. Computational results show that the proposed algorithm can optimally solve problems within a reasonable amount of time.

Discrete Particle Swarm Optimization with Scout Particles for Library Materials Acquisition

“…Later, Wise and Perushek [6] not only address an important claim that the suggestions of collection development librarians and faculties must be taken into consideration but also elaborate another model to reflect the opinion of librarians and faculties. Ho et al [7] present a model that maximizes the average preference of patrons subject to both the acquisition cost and the number of materials in each category.…”