IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v37y1991i9p1147-1165.html
   My bibliography  Save this article

Soviet Multi-Objective Mathematical Programming Methods: An Overview

Author

Listed:
  • Elliot R. Lieberman

    (Department of Management Science and Systems, State University of New York at Buffalo, Buffalo, New York 14260)

Abstract

Over the past 20--30 years multi-objective mathematical programming (MOMP) has emerged as an increasingly active area of research in the fields of management science, operations research, applied mathematics, and engineering. Despite the intensity of interest, however, earlier surveys of MOMP methods have all but ignored Soviet work in this area. Published in unfamiliar journals and often available only in Russian, the Soviet research has remained virtually unknown outside of the USSR and Eastern Europe. This has been particularly unfortunate given the extent, importance, and originality of much of the Soviet research. The current article attempts to correct this situation by providing a comprehensive, yet nontechnical, overview of Soviet MOMP methods. Using a taxonomy similar to ones that have been applied to Western MOMP techniques, the article categorizes the Soviet methods based on when they involve a decision maker in the solution process---a priori, progressively, a posteriori, or never---and what kind of information the decision maker provides. In all, 17 methods are analyzed with particular attention given to their distinctive features and to the issues of computational feasibility and burden on the decision maker. The article concludes with observations on the overall character of Soviet MOMP research, comparing the general directions in Soviet and Western research.

Suggested Citation

  • Elliot R. Lieberman, 1991. "Soviet Multi-Objective Mathematical Programming Methods: An Overview," Management Science, INFORMS, vol. 37(9), pages 1147-1165, September.
  • Handle: RePEc:inm:ormnsc:v:37:y:1991:i:9:p:1147-1165
    DOI: 10.1287/mnsc.37.9.1147
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.37.9.1147
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.37.9.1147?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. Shuli Hu & Xiaoli Wu & Huan Liu & Yiyuan Wang & Ruizhi Li & Minghao Yin, 2019. "Multi-Objective Neighborhood Search Algorithm Based on Decomposition for Multi-Objective Minimum Weighted Vertex Cover Problem," Sustainability, MDPI, vol. 11(13), pages 1-21, July.
    2. Juan, Yi-Kai & Castro, Daniel & Roper, Kathy, 2010. "Decision support approach based on multiple objectives and resources for assessing the relocation plan of dangerous hillside aggregations," European Journal of Operational Research, Elsevier, vol. 202(1), pages 265-272, April.
    3. Nomeda Dobrovolskienė & Rima Tamošiūnienė, 2016. "Sustainability-Oriented Financial Resource Allocation in a Project Portfolio through Multi-Criteria Decision-Making," Sustainability, MDPI, vol. 8(5), pages 1-18, May.
    4. Elizabeth Gurocak & Norman Whittlesey, 1998. "Multiple Criteria Decision Making: A Case Study of the Columbia River Salmon Recovery Plan," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(4), pages 479-495, December.

    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:inm:ormnsc:v:37:y:1991:i:9:p:1147-1165. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.