IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/756891.html
   My bibliography  Save this article

A Scatter Search Approach for Multiobjective Selective Disassembly Sequence Problem

Author

Listed:
  • Xiwang Guo
  • Shixin Liu

Abstract

Disassembly sequence has received much attention in recent years. This work proposes a multiobjective optimization of model for selective disassembly sequences and maximizing disassembly profit and minimizing disassembly time. An improved scatter search (ISS) is adapted to solve proposed multiobjective optimization model, which embodies diversification generation of initial solutions, crossover combination operator, the local search strategy to improve the quality of new solutions, and reference set update method. To analyze the effect on the performance of ISS, simulation experiments are conducted on different products. The validity of ISS is verified by comparing the optimization effects of ISS and nondominated sorting genetic algorithm (NSGA-II).

Suggested Citation

  • Xiwang Guo & Shixin Liu, 2014. "A Scatter Search Approach for Multiobjective Selective Disassembly Sequence Problem," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-9, November.
    • Handle: RePEc:hin:jnddns:756891
    DOI: 10.1155/2014/756891
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2014/756891.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/DDNS/2014/756891.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/756891?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. A. D. López-Sánchez & J. Sánchez-Oro & M. Laguna, 2021. "A New Scatter Search Design for Multiobjective Combinatorial Optimization with an Application to Facility Location," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 629-642, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnddns:756891. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.