Add to ORKGA Particle Swarm Optimization (PSO) algorithm has been used in conjunction with a full-wave numerical code based on the Method of Moments (MoM) to design and optimize wire antennas. The PSO is a robust stochastic evolutionary numerical technique that is very effective in optimizing multidimensional problems. The goal of the present work is to design wire antennas operating in a wide frequency range with a high gain level. A modified PSO algorithm will be presented in order to increase the efficiency in terms of convergence. © 2007 IEEE
This paper presents an optimization technique for microstrip antennas, designed for ambient electro-...
An effective optimization algorithm suitably developed for antenna design applications is here prese...
From a historical perspective, electromagnetic modelling and its techniques of optimization are re...
A particle swarm optimization (PSO) algorithm has been used in conjunction with a full-wave numerica...
A modified particle swarm optimisation (PSO) algorithm, the dynamic PSO, is proposed to obtain a bet...
The paper is aimed to the multi-objective optimization of wiremulti-band antennas. Antennas are nume...
Nowadays, Navy ship decks are more and more ‘crowded'' with antennas. Often, in the design stage, br...
Particle Swarm Optimization (PSO), a robust stochastic evolutionary computational technique, has bee...
During the last decade, the unprecedented increase in the affordable computational power has strongl...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
This paper presents the extension of the meta particle swarm optimization (Meta-PSO) evolutionary al...
In this work, two nature-inspired optimization techniques, namely Particle Swarm Optimization (PSO) ...
Particle Swarm Optimisation (PSO) is applied as a design tool for a new type of parasitically couple...
The presented submission describes how genetic algorithms can be applied to the optimization and des...
This paper presents an optimization technique for microstrip antennas, designed for ambient electro-...
An effective optimization algorithm suitably developed for antenna design applications is here prese...
From a historical perspective, electromagnetic modelling and its techniques of optimization are re...
A particle swarm optimization (PSO) algorithm has been used in conjunction with a full-wave numerica...
A modified particle swarm optimisation (PSO) algorithm, the dynamic PSO, is proposed to obtain a bet...
The paper is aimed to the multi-objective optimization of wiremulti-band antennas. Antennas are nume...
Nowadays, Navy ship decks are more and more ‘crowded'' with antennas. Often, in the design stage, br...
Particle Swarm Optimization (PSO), a robust stochastic evolutionary computational technique, has bee...
During the last decade, the unprecedented increase in the affordable computational power has strongl...
In this paper a new effective optimization algorithm called genetical swarm optimization (GSO) is pr...
This paper presents the extension of the meta particle swarm optimization (Meta-PSO) evolutionary al...
In this work, two nature-inspired optimization techniques, namely Particle Swarm Optimization (PSO) ...
Particle Swarm Optimisation (PSO) is applied as a design tool for a new type of parasitically couple...
The presented submission describes how genetic algorithms can be applied to the optimization and des...
This paper presents an optimization technique for microstrip antennas, designed for ambient electro-...
An effective optimization algorithm suitably developed for antenna design applications is here prese...
From a historical perspective, electromagnetic modelling and its techniques of optimization are re...