Paper Info
Title
Stopping Criteria In Evolutionary Algorithms For Multi-Objective Performance Optimization Of Integrated Inductors
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.
Year
DOI
Venue
2010
10.1109/CEC.2010.5586196
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
Keywords
Field
DocType
measurement,convergence,evolutionary computation,circuit design,inductors,optimization,evolutionary algorithms,optical fibers,radio frequency,evolutionary algorithm
Convergence (routing),Mathematical optimization,Evolutionary algorithm,Planar inductor,Microelectronics,Computer science,Evolutionary computation,Circuit design,Inductor
Conference
Citations 
PageRank 
References 
4
0.45
5
Authors
4
Name
Order
Citations
PageRank
Francisco V. Fernández123440.82
J. Esteban-Muller240.45
Elisenda Roca312926.84
Rafael Castro-López4203.95