首页    期刊浏览 2024年09月07日 星期六
登录注册

文章基本信息

  • 标题:On the Quadratic Transportation Problem
  • 本地全文:下载
  • 作者:Veena Adlakha ; Krzysztof Kowalski
  • 期刊名称:Open Journal of Optimization
  • 印刷版ISSN:2325-7105
  • 电子版ISSN:2325-7091
  • 出版年度:2013
  • 卷号:02
  • 期号:03
  • 页码:89-94
  • DOI:10.4236/ojop.2013.23012
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:We present a direct analytical algorithm for solving transportation problems with quadratic function cost coefficients. The algorithm uses the concept of absolute points developed by the authors in earlier works. The versatility of the proposed algorithm is evidenced by the fact that quadratic functions are often used as approximations for other functions, as in, for example, regression analysis. As compared with the earlier international methods for quadratic transportation problem (QTP) which are based on the Lagrangian relaxation approach, the proposed algorithm helps to understand the structure of the QTP better and can guide in managerial decisions. We present a numerical example to illustrate the application of the proposed method.
  • 关键词:Quadratic Cost Function; Transportation Problem; Direct Method; Dynamic Shadow Prices
国家哲学社会科学文献中心版权所有