Clustered-gravitational search algorithm and its application in parameter optimization of a low noise amplifier
M Shams, E Rashedi, A Hakimi - Applied Mathematics and Computation, 2015 - Elsevier
Gravitational search algorithm (GSA) is a recent introduced algorithm which is inspired by
law of gravity and mass interactions. In this paper, a novel version of GSA, named Clustered …
law of gravity and mass interactions. In this paper, a novel version of GSA, named Clustered …
Optimization of 5.5-GHz CMOS LNA parameters using firefly algorithm
This paper presents an optimal design of low noise amplifier (LNA) using an efficient swarm-
based optimizer called firefly algorithm (FA). Many researchers have used firefly algorithm to …
based optimizer called firefly algorithm (FA). Many researchers have used firefly algorithm to …
Application of swarm intelligence techniques to the design of analog circuits: evaluation and comparison
Swarm intelligence (SI) techniques are more and more used by analog designers in order to
optimally size their circuits/systems' performances. A particular interest is accorded to the …
optimally size their circuits/systems' performances. A particular interest is accorded to the …
Parameter optimization of 5.5 GHz low noise amplifier using multi-objective Firefly Algorithm
This work presents an optimal design of low noise amplifier (LNA) using Firefly Algorithm
(FA). In this work we have implemented FA in optimizing various parameters of LNA like …
(FA). In this work we have implemented FA in optimizing various parameters of LNA like …
Surrogate assisted optimization for low-voltage low-power circuit design
Low-voltage low-power (LVLP) circuit design and optimization is a hard and time-consuming
task. In this study, we are interested in the application of the newly proposed meta-modelling …
task. In this study, we are interested in the application of the newly proposed meta-modelling …
Backtracking ACO for RF-circuit design optimization
Sizing analog, mixed-signal, and particularly radio-frequency circuits generally relies on the
experience of the designer. Metaheuristics have been recently proposed, and it has been …
experience of the designer. Metaheuristics have been recently proposed, and it has been …
Low noise amplifier synthesis using multidimensional MLP neural network
In this paper, a new method is proposed for determining the design parameters of radio
frequency (RF) low noise amplifier (LNA) to obtain a set of desired design specifications …
frequency (RF) low noise amplifier (LNA) to obtain a set of desired design specifications …
Performance optimization of CMOS second generation current conveyors using a multi-swarm algorithm
This paper proposes an enhanced variant of the particle swarm optimization technique PSO-
2S, and its application to analogue circuit performance optimization. For comparison …
2S, and its application to analogue circuit performance optimization. For comparison …
Metamodelling techniques for the optimal design of low-noise amplifiers
In this article we deal with the optimal sizing of low-noise amplifiers (LNAs) using newly
proposed metamodeling techniques. The main objective is to construct metamodels of main …
proposed metamodeling techniques. The main objective is to construct metamodels of main …
The backtracking search for the optimal design of low-noise amplifiers
The backtracking search algorithm (BSA) was recently developed. It is an evolutionary
algorithm for real-valued optimization problems. The main feature of BSA vis-à-vis other …
algorithm for real-valued optimization problems. The main feature of BSA vis-à-vis other …