IDEAS home Printed from https://ideas.repec.org/p/iim/iimawp/14437.html
   My bibliography  Save this paper

A new genetic algorithm for the tool indexing problem

Author

Listed:
  • Ghosh, Diptesh

Abstract

The tool indexing problem is one of allocating tools to slots in a tool magazine so as to minimize the tool change time in automated machining. This problem has been widely studied in the literature. A genetic algorithm has been suggested in the literature to solve this problem, but its implementation is non-standard. In this paper we describe a permutation based genetic algorithm for the tool indexing problem and compare its performance with an existing genetic algorithm.

Suggested Citation

  • Ghosh, Diptesh, 2016. "A new genetic algorithm for the tool indexing problem," IIMA Working Papers WP2016-03-17, Indian Institute of Management Ahmedabad, Research and Publication Department.
    • Handle: RePEc:iim:iimawp:14437
    as

    Download full text from publisher

    File URL: https://www.iima.ac.in/sites/default/files/rnpfiles/15834390662016-03-17.pdf
    File Function: English Version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ghosh, Diptesh, 2016. "Exploring Lin Kernighan neighborhoods for the indexing problem," IIMA Working Papers WP2016-02-13, Indian Institute of Management Ahmedabad, Research and Publication Department.
    2. Ghosh, Diptesh, 2016. "Allocating tools to index positions in tool magazines using tabu search," IIMA Working Papers WP2016-02-06, Indian Institute of Management Ahmedabad, Research and Publication Department.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Gintaras Palubeckis, 2020. "An Approach Integrating Simulated Annealing and Variable Neighborhood Search for the Bidirectional Loop Layout Problem," Mathematics, MDPI, vol. 9(1), pages 1-30, December.
    2. Diptesh Ghosh, 2016. "Incorporating gender and age in genetic algorithms to solve the indexing problem," Working Papers id:11034, eSocialSciences.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ghosh, Diptesh, 2016. "Exploring Lin Kernighan neighborhoods for the indexing problem," IIMA Working Papers WP2016-02-13, Indian Institute of Management Ahmedabad, Research and Publication Department.
    2. Diptesh Ghosh, 2016. "Incorporating gender and age in genetic algorithms to solve the indexing problem," Working Papers id:11034, eSocialSciences.
    3. Gintaras Palubeckis, 2020. "An Approach Integrating Simulated Annealing and Variable Neighborhood Search for the Bidirectional Loop Layout Problem," Mathematics, MDPI, vol. 9(1), pages 1-30, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iim:iimawp:14437. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/eciimin.html .

    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.