Application of negotiable evolutionary algorithm in flexible manufacturing planning and scheduling

X. Hao, H. W. Lin, T. Murata

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

3 Citations (Scopus)

Abstract

A Negotiable Evolutionary Algorithm (NEA) meta-heuristic approach is presented in this paper for solving the Integrated Production Planning and Scheduling (IPPS) problem in Flexible Manufacturing Systems (FMS). The NEA approach addresses the rationales that we have identified as the key features required for effectively solving complex IPPS problems. Considerable experiments have been conducted and the results have confirmed that NEA outperforms the conventional EA approach.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
Pages496-500
Number of pages5
DOIs
Publication statusPublished - 2010 Dec 31
Event17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 - Xiamen, China
Duration: 2010 Oct 292010 Oct 31

Publication series

NameProceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010

Conference

Conference17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
CountryChina
CityXiamen
Period10/10/2910/10/31

Keywords

  • Evolutionary algorithm
  • Flexible manufacturing
  • Negotiation
  • Production planning
  • Scheduling

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • Cite this

    Hao, X., Lin, H. W., & Murata, T. (2010). Application of negotiable evolutionary algorithm in flexible manufacturing planning and scheduling. In Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 (pp. 496-500). [5646565] (Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010). https://doi.org/10.1109/ICIEEM.2010.5646565