Design Equations from Geometric Programming

Posynomial geometric programming problem subject to max–product fuzzy relation equations

In this article, we study a class of posynomial geometric programming problem (PGPF), with the purpose of minimizing a posynomial subject to fuzzy relational equations with max–product composition. With the help of auxiliary variables, it is converted convert the PGPF into an equivalent programming problem whose objective function is a non-decreasing function with an auxiliary variable. Some pr...

Geometric Programming with Stochastic Parameter

Geometric programming is efficient tool for solving a variety of nonlinear optimizationproblems. Geometric programming is generalized for solving engineering design. However,Now Geometric programming is powerful tool for optimization problems where decisionvariables have exponential form.The geometric programming method has been applied with known parameters. However,the observed values of the ...

Geometric Programming Problem with Trapezoidal Fuzzy Variables

Nowadays Geometric Programming (GP) problem is a very popular problem in many fields. Each type of Fuzzy Geometric Programming (FGP) problem has its own solution. Sometimes we need to use the ranking function to change some part of GP to the linear one. In this paper, first, we propose a method to solve multi-objective geometric programming problem with trapezoidal fuzzy variables; then we use ...

Geometric Programming

Optimal Design of CMOS Low Noise Amplifiers via Geometric Programming

An automated and optimal design of CMOS low noise amplifier (LNA) via geometric programming has been presented. All the LNA design specifications are formulated as equality and inequality constrains and the design goal is formulated as an objective function. Some approximations and estimations on the design parameters are made in order to satisfy the formal requirement of the geometric programm...