Open AccessModified signomial geometric programming (MSGP) and its applications
Author(s) -
Wasim Akram Mandal,
Sahidul Islam
Publication year - 2019
Publication title -
independent journal of management and production
Language(s) - English
Resource type - Journals
ISSN - 2236-269X
DOI - 10.14807/ijmp.v10i2.853
Subject(s) - geometric programming , mathematics , mathematical optimization , nonlinear programming , nonlinear system , physics , quantum mechanics
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.