Discrete particle swarm optimization with scout particles for library materials acquisition.
Yi-Ling Wu1, Tsu-Feng Ho, Shyong Jian Shyu
1Institute of Information Management, National Chiao Tung University, Hsinchu 30010, Taiwan.
Thescientificworldjournal
|September 28, 2013
Summary
Academic libraries face material acquisition challenges. This study introduces a discrete particle swarm optimization (DPSO) model to optimize material selection, maximizing user preference and budget execution within constraints.
Area of Science:
- Library and Information Science
- Operations Research
- Computer Science
Background:
- Academic libraries confront significant challenges in materials acquisition.
- Optimizing the selection process is crucial for maximizing resource utilization and user satisfaction.
Purpose of the Study:
- To develop an integer programming model for academic library materials acquisition.
- To maximize average user preference and budget execution rate under practical constraints.
Main Methods:
- An integer programming model was formulated to address the materials acquisition problem.
- A discrete particle swarm optimization (DPSO) algorithm with scout particles was proposed.
- The DPSO incorporated an initialization algorithm and a penalty function to handle constraints.
Main Results:
- Computational experiments demonstrated the effectiveness of the proposed DPSO approach.
- Statistical analysis confirmed the efficiency of the DPSO in optimizing material selection.
- The model successfully balanced maximizing preference and budget execution.
Conclusions:
- The developed discrete particle swarm optimization (DPSO) is an effective method for academic library materials acquisition.
- The approach addresses practical constraints, enhancing resource allocation.
- This research offers a valuable tool for optimizing library collection development.
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