A Fast and Accurate Geometric Programming Technique for Analog Circuits Sizing

Author(s):  
Abdelrahman Sayed ◽  
Ahmed Nader Mohieldin ◽  
Mohsen Mahroos
2016 ◽  
Vol 12 (05) ◽  
pp. 97-106 ◽  
Author(s):  
Mridula Sarkar ◽  
Samir Dey ◽  
Tapan Kumar Roy

2017 ◽  
Vol 8 (2) ◽  
pp. 299
Author(s):  
Sahidul Islam ◽  
Wasim Akram Mandal

In this paper, an Inventory model with unit production cost, time depended holding cost, with-out shortages is formulated and solved. We have considered here a single objective inventory model. In most real world situation, the objective and constraint function of the decision makers are imprecise in nature, hence the coefficients, indices, the objective function and constraint goals are imposed here in fuzzy environment. Geometric programming provides a powerful tool for solving a variety of impreciseoptimization problem. Here we have used nearest interval approximation method to convert a triangular fuzzy number to an interval number then transform this interval number to a parametric interval-valued functional form and solve the parametric problem by geometric programming technique. Here two necessary theorems have been derived. Numerical example is given to illustrate the model through this Parametric Geometric-Programming method. 


Author(s):  
Jorge Johanny Sáenz Noval ◽  
Elkim Felipe Roa Fuentes ◽  
Armando Ayala Pabón ◽  
Wilhelmus Van Noije

2010 ◽  
Vol 20 (2) ◽  
pp. 213-227 ◽  
Author(s):  
Sahidul Islam

In this paper, we have discussed constrained posynomial Multi-Objective Geometric Programming Problem. Here we shall describe the fuzzy optimization technique (through Geometric Programming technique) In order to solve the above multiobjective problem. The solution procedure of the fuzzy technique is illustrated by a numerical example and real life applications.


Author(s):  
Zeinab Mousavi ◽  
Mansour Saraj

When we talk of optimization in industry we need to pay attention in searching for very powerful and flexible optimization techniques. One of such techniques which has attracted the interest of many researchers in the last few decades is called geometric programming that provides a powerful tool for solving nonlinear problems. As we know in the real world, many applications of geometric programming are engineering design problems. Generally, engineering design problems deal with multi-objective functions, in which their objectives are often in conflicts with each other. This paper considers a solution method when the cost, the constraint coefficients, and the right-hand sides in the multi-objective geometric programming problems are imprecise and represented as interval values. This problem is reduced with the method of weighted sum to a single objective function and further by applying interval-valued function, we solve the problem by geometric programming technique. The ability of calculating the bounds of the objective value developed in this paper might help lead to more realistic modeling efforts in engineering optimization areas. Finally a numerical example is given to illustrate the methodology of solution and efficiency of the present approach.


Sign in / Sign up

Export Citation Format

Share Document