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Stopping criteria in evolutionary algorithms for multi-objective performance optimization of integrated inductors

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4 Author(s)
Francisco V. Fernández ; University of Sevilla and IMSE, CSIC, Sevilla, Spain ; J. Esteban-Muller ; Elisenda Roca ; Rafael Castro-López

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.

Published in:

IEEE Congress on Evolutionary Computation

Date of Conference:

18-23 July 2010