Optimization of schedules for selecting books from the closed-shelf stack: Using genetic algorithms

Ce Shi, Quanyu Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

A subsystem for controlling and managing the closed-shelf stacks of Beijing Institute of Technology Library is developed. The implementation of the proposed subsystem's functions and the scheme for optimizing schedules scheme are discussed. Traditionally, the book selection process is time-consuming and inefficient. To address this problem, an improved genetic algorithm is used to optimize the selection of books. The experimental results show that this algorithm considerably improve book selection efficiency.

Original languageEnglish
Title of host publication2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages503-506
Number of pages4
ISBN (Electronic)9781479944200
DOIs
Publication statusPublished - 20 Mar 2014
Event2014 7th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014 - Chongqing, China
Duration: 20 Dec 201421 Dec 2014

Publication series

Name2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014

Conference

Conference2014 7th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014
Country/TerritoryChina
CityChongqing
Period20/12/1421/12/14

Keywords

  • closed-shelf stacks
  • genetic algorithms
  • schedule optimization

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