On the computational utility of posynomial geometric programming solution methods

1982 ◽  
Vol 22 (1) ◽  
pp. 163-201 ◽  
Author(s):  
J. E. Fattler ◽  
G. V. Reklaitis ◽  
Y. T. Sin ◽  
R. R. Root ◽  
K. M. Ragsdell
Keyword(s):  
Geometric Programming ◽  
Solution Methods ◽  
Programming Solution

scholarly journals A Geometric Programming Solution for the Mutual-Interference Model in HetNets

2016 ◽  
Vol 20 (9) ◽  
pp. 1876-1879 ◽  
Author(s):  
Luis Diez ◽  
George-Pantelimon Popescu ◽  
Ramon Aguero
Keyword(s):  
Geometric Programming ◽  
Mutual Interference ◽  
Interference Model ◽  
Programming Solution

scholarly journals A Geometric Programming Solution to an Economic Production Quantity Model with Ranking Fuzzy Numbers Cost Parameters

2019 ◽  
Vol 8 (2S3) ◽  
pp. 747-750
Keyword(s):  
Numerical Model ◽  
Geometric Programming ◽  
Fuzzy Numbers ◽  
Programming Method ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Quantity ◽  
Cost Parameters ◽  
The Cost ◽  
Programming Solution

on this paper, a financial creation quantity is figured to hold up a era framework with restrict, adaptability, unwavering first-class, and circumstance supportability with switch fee of non-appealing object. The cost parameters are spoken to as a trapezoidal fluffy numbers and those fluffy numbers are communicated as positioning fluffy numbers with satisfactory guess period in-between. Geometric programming method is attached to determine the precise selections in close from. A numerical model is given to help the difficulty.

scholarly journals Design Optimization with Geometric Programming for Core Type Large Power Transformers

2014 ◽  
Vol 6 (1) ◽  
pp. 13-18 ◽  
Author(s):  
Tamás Orosz ◽  
István Vajda
Keyword(s):  
Design Optimization ◽  
Geometric Programming ◽  
Large Scale ◽  
Cost Optimization ◽  
Power Transformers ◽  
Design Parameters ◽  
Large Power ◽  
Economic Choice ◽  
Three Phase ◽  
Solution Methods

Abstract A good transformer design satisfies certain functions and requirements. We can satisfy these requirements by various designs. The aim of the manufacturers is to find the most economic choice within the limitations imposed by the constraint functions, which are the combination of the design parameters resulting in the lowest cost unit. One of the earliest application of the Geometric Programming [GP] is the optimization of power transformers. The GP formalism has two main advantages. First the formalism guarantees that the obtained solution is the global minimum. Second the new solution methods can solve even large-scale GPs extremely efficiently and reliably. The design optimization program seeks a minimum capitalized cost solution by optimally setting the transformer's geometrical and electrical parameters. The transformer's capitalized cost chosen for object function, because it takes into consideration the manufacturing and the operational costs. This paper considers the optimization for three winding, three phase, core-form power transformers. This paper presents the implemented transformer cost optimization model and the optimization results.

Design Optimizaion of Gm-C Filters via Geometric Programming

2017 ◽  
Vol E100.C (4) ◽  
pp. 407-415
Author(s):  
Minyoung YOON ◽  
Byungjoon KIM ◽  
Jintae KIM ◽  
Sangwook NAM
Keyword(s):  
Geometric Programming
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