IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-642-04045-0_15.html
   My bibliography  Save this book chapter

Discrete Time-Cost Tradeoff with a Novel Hybrid Meta-Heuristic

In: Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems

Author

Listed:
  • Kamal Srivastava
  • Sanjay Srivastava

    (Dayalbagh Educational Institute)

  • Bhupendra. K. Pathak
  • Kalyanmoy Deb

Abstract

In this paper, we present a new hybrid meta-heuristic (HMH) technique for solving multiobjective discrete time-cost tradeoff (TCT) problem in project scheduling. The proposed technique hybridizes a multiobjective genetic algorithm and simulated annealing, and is apposite for problems where generation of complete Pareto front, a TCT curve in this case, is essential for a decision-maker. Discrete TCT problem is known to be NP-hard. We solved two test problems of discrete TCT using HMH – on comparing the Pareto front results of HMH with those of analytical method, HMH performs well in terms of efficiency and accuracy.

Suggested Citation

  • Kamal Srivastava & Sanjay Srivastava & Bhupendra. K. Pathak & Kalyanmoy Deb, 2010. "Discrete Time-Cost Tradeoff with a Novel Hybrid Meta-Heuristic," Lecture Notes in Economics and Mathematical Systems, in: Matthias Ehrgott & Boris Naujoks & Theodor J. Stewart & Jyrki Wallenius (ed.), Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, pages 177-188, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-04045-0_15
    DOI: 10.1007/978-3-642-04045-0_15
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnechp:978-3-642-04045-0_15. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.