An application of immune algorithms for job-shop scheduling problems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Job-shop scheduling problems (JSSPs) are important problems that decide production scheduling. However these problems are not easy to solve and many studies have been done. Furthermore, in real situation, while doing jobs according to decided schedule, re-scheduling occurs because of new jobs and it is required to decide the schedule considering ability and skills of works. In this study, in the stage of the deciding the JSSPs, we will discuss the method to offer the designer several candidates of the JSP and then designers can select the final schedule considering the difficult properties to formulate the problems. Through some numerical examples, we will confirm the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Symposium on Assembly and Task Planning, ISATP 2003
PublisherIEEE Computer Society
Pages146-150
Number of pages5
ISBN (Electronic)0780377702
DOIs
Publication statusPublished - 2003 Jan 1
Event5th IEEE International Symposium on Assembly and Task Planning, ISATP 2003 - Besancon, France
Duration: 2003 Jul 102003 Jul 11

Publication series

NameProceedings of the IEEE International Symposium on Assembly and Task Planning
Volume2003-January

Other

Other5th IEEE International Symposium on Assembly and Task Planning, ISATP 2003
CountryFrance
CityBesancon
Period03/7/1003/7/11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Computer Science Applications

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  • Cite this

    Miyashita, T. (2003). An application of immune algorithms for job-shop scheduling problems. In Proceedings of the IEEE International Symposium on Assembly and Task Planning, ISATP 2003 (pp. 146-150). [1217202] (Proceedings of the IEEE International Symposium on Assembly and Task Planning; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/ISATP.2003.1217202