Metaheuristic algorithms comparison for the LC - Voltage controlled oscillators optimal design

Author

Pereira, Philipe ; Kotti, M. ; Fino, H. ; Fakhfakh, M.

Author_Institution

Dept. de Eng. Electrotec., UNL, Caparica, Portugal

fYear

2013

fDate

28-30 April 2013

Firstpage

1

Lastpage

6

Abstract

The goal of this paper is to present a comparison among three known metaheuristics: Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Simulated Annealing (SA). For the comparison, the design of an LC - Voltage Controlled Oscillator (LC-VCO) is considered, where the minimization of both VCO phase noise and power consumption is envisaged. The objective of this comparison is to find the algorithm yielding the best solution. The validity of the solution obtained with each metaheuristic algorithm is checked against HSPICE/RF simulation results. Robustness checks for each algorithm are presented at the end of this paper.

Keywords

SPICE; circuit optimisation; circuit simulation; genetic algorithms; integrated circuit design; particle swarm optimisation; phase noise; simulated annealing; voltage-controlled oscillators; GA; HSPICE simulation; LC-VCO design; PSO; RF simulation; SA; VCO phase noise minimization; genetic algorithm; metaheuristic algorithm; optimal design; particle swarm optimization; power consumption; simulated annealing; voltage controlled oscillator; Algorithm design and analysis; Genetic algorithms; Optimization; Phase noise; Sociology; Voltage-controlled oscillators; Genetic Algorithms; LC-VCO; Metaheuristics; Particle Swarm Optimization; Simulated Annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-5812-5

Type

conf

DOI

10.1109/ICMSAO.2013.6552658

Filename

6552658