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  • 标题:On Optimal Non-Overlapping Segmentation and Solutions of Three-Dimensional Linear Programming Problems through the Super Convergent Line Series
  • 本地全文:下载
  • 作者:Thomas Ugbe ; Polycarp Chigbu
  • 期刊名称:American Journal of Operations Research
  • 印刷版ISSN:2160-8830
  • 电子版ISSN:2160-8849
  • 出版年度:2017
  • 卷号:7
  • 期号:3
  • 页码:225-238
  • DOI:10.4236/ajor.2017.73015
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要:The solutions of Linear Programming Problems by the segmentation of the cuboidal response surface through the Super Convergent Line Series methodologies were obtained. The cuboidal response surface was segmented up to four segments, and explored. It was verified that the number of segments, S, for which optimal solutions are obtained is two (S = 2). Illustrative examples and a real-life problem were also given and solved.
  • 关键词:Average Information MatrixExperimental SpaceLine Search AlgorithmSupport PointsOptimal Solution
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