Add to ORKGThe paper discusses the synthesis of the Sierpinski antenna operating at three prescribed frequencies: 0.9 GHz, 1.8 GHz (both GSM) and 2.4 GHz (Bluetooth). In order to synthesize the antenna, a genetic algorithm and a particle swarm optimization were used. The numerical model of the antenna was developed in Zeland IE3D, optimization scripts were programmed in MATLAB. Results of both the optimization methods are compared and experimentally verified
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
The paper discusses the synthesis of the Sierpinski antenna operating at three prescribed frequencie...
AbstractIn this present work, the author has presented Sierpinski Bow-Tie antenna which is meant for...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
This thesis studies the effectiveness of bio-inspired optimization algorithms in controlling adaptiv...
The paper is aimed to the multi-objective optimization of wiremulti-band antennas. Antennas are nume...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
Abstract- Soft computing techniques like neural network, genetic and other optimization techniques p...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
Antenna design has grown more stringent and difficult over the years as the world becomes strictly a...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
The paper discusses the synthesis of the Sierpinski antenna operating at three prescribed frequencie...
AbstractIn this present work, the author has presented Sierpinski Bow-Tie antenna which is meant for...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
This thesis studies the effectiveness of bio-inspired optimization algorithms in controlling adaptiv...
The paper is aimed to the multi-objective optimization of wiremulti-band antennas. Antennas are nume...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
Abstract- Soft computing techniques like neural network, genetic and other optimization techniques p...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
Antenna design has grown more stringent and difficult over the years as the world becomes strictly a...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...
In this paper, an equivalent model based on two identical loop wire antennas separated by an air gap...