Modified signomial geometric programming (MSGP) and its applications

• Mandal, Wasim Akram ^[1] ; Islam, Sahidul ^[1]
  1. [1] University of Kalyani

     University of Kalyani

     India

     
• Localización: Independent Journal of Management & Production, ISSN-e 2236-269X, Vol. 10, Nº. 2 (March - April), 2019, págs. 440-458
• Idioma: inglés
• DOI: 10.14807/ijmp.v10i2.853
• Enlaces
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• Resumen

  • A "signomial" is a mathematical function, contains one or more independent variables. Richard J. Duffin and Elmor L. Peterson introduced the term "signomial". Signomial geometric programming (SGP) optimization technique often provides a much better mathematical result of real-world nonlinear optimization problems. In this research paper, we have proposed unconstrained and constrained signomial geometric programming (SGP) problem with positive or negative integral degree of difficulty. Here a modified form of signomial geometric programming (MSGP) has been developed and some theorems have been derived. Finally, these are illustrated by proper examples and applications.

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