In the first part of this article, Particle Swarm Optimization (PSO) was applied to the problem of optimizing knot placement in the regression spline method. Although promising for broadband signals having smooth, but otherwise unknown, waveforms, this simple approach fails in the case of narrowband signals when the carrier frequency as well as the amplitude and phase modulations are unknown. A method is presented that addresses this challenge by using PSO based regression splines for the in-phase and quadrature amplitudes separately. It is thereby seen that PSO is an effective tool for regression analysis of a broad class of signals
Particle Swarm Optimisation (PSO) is applied as a design tool for a new type of parasitically couple...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
An application of particle swarm optimization (PSO) for wideband patch antenna design is presented i...
Particle Swarm Optimization (PSO) is now widely used in many problems that require global optimizati...
This paper presents an optimization technique for wideband patch antennas using selective particle s...
This paper presents a single-objective particle swarm optimization (PSO) for wideband patch antennas...
In fitting data with a spline, finding the optimal placement of knots can significantly improve the ...
The Particle Swarm Optimization (PSO) method recently gained high popularity in electromagnetics. He...
We present the work in progress on a rule mining algorithm for regression using particle swarm optim...
Channel estimation is an essential task in MIMO-OFDM systems for coherent demodulation and data dete...
Application of metaheuristic algorithms has been of continued interest in the field of electrical en...
In this chapter we present a technique that helps Particle Swarm Optimisers (PSOs) locate an optimum...
Recently a surface plasmon resonance (SPR) optical sensor, based on the Otto configuration — the Ott...
Article describes basics of a particle swarm optimization (PSO) algorithm and presents results of a ...
The particle swarm optimization (PSO) is a powerful and robust method, useful for global optimizatio...
Particle Swarm Optimisation (PSO) is applied as a design tool for a new type of parasitically couple...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
An application of particle swarm optimization (PSO) for wideband patch antenna design is presented i...
Particle Swarm Optimization (PSO) is now widely used in many problems that require global optimizati...
This paper presents an optimization technique for wideband patch antennas using selective particle s...
This paper presents a single-objective particle swarm optimization (PSO) for wideband patch antennas...
In fitting data with a spline, finding the optimal placement of knots can significantly improve the ...
The Particle Swarm Optimization (PSO) method recently gained high popularity in electromagnetics. He...
We present the work in progress on a rule mining algorithm for regression using particle swarm optim...
Channel estimation is an essential task in MIMO-OFDM systems for coherent demodulation and data dete...
Application of metaheuristic algorithms has been of continued interest in the field of electrical en...
In this chapter we present a technique that helps Particle Swarm Optimisers (PSOs) locate an optimum...
Recently a surface plasmon resonance (SPR) optical sensor, based on the Otto configuration — the Ott...
Article describes basics of a particle swarm optimization (PSO) algorithm and presents results of a ...
The particle swarm optimization (PSO) is a powerful and robust method, useful for global optimizatio...
Particle Swarm Optimisation (PSO) is applied as a design tool for a new type of parasitically couple...
: Particel Swarm Optimization (PSO) is a form of population evolutionary algorithm introduced in the...
An application of particle swarm optimization (PSO) for wideband patch antenna design is presented i...