Title :
Stopping criteria in evolutionary algorithms for multi-objective performance optimization of integrated inductors
Author :
Fernández, Francisco V. ; Esteban-Muller, J. ; Roca, Elisenda ; Castro-López, Rafael
Author_Institution :
IMSE, Univ. of Sevilla, Sevilla, Spain
Abstract :
In this paper, the application of multi-objective evolutionary algorithms to the evaluation of performance trade-offs of planar inductors, an almost ubiquitous device in radio-frequency microelectronics, is studied. The absence of appropriate stopping criteria in most evolutionary algorithms reveals to be critical in this application. A new stopping criterion based on monitoring a set of performance metrics that account for convergence and diversity is proposed and demonstrated with practical radio-frequency circuit design problems.
Keywords :
electronic engineering computing; evolutionary computation; inductors; radiofrequency integrated circuits; evolutionary algorithms; integrated inductors; multiobjective performance optimization; planar inductors; radiofrequency circuit design problems; radiofrequency microelectronics; stopping criteria; ubiquitous device; Approximation methods; Convergence; Evolutionary computation; Inductors; Measurement; Optical fibers; Optimization;
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
DOI :
10.1109/CEC.2010.5586196