Fuzzy Selection Based Differential Evolution Algorithm for Analog Cell Sizing Capturing Imprecise Human Intentions

Liu, B. , Fernández, F. V. and Gielen, G. (2009) Fuzzy Selection Based Differential Evolution Algorithm for Analog Cell Sizing Capturing Imprecise Human Intentions. In: 2009 IEEE Congress on Evolutionary Computation, Trondheim, Norway, 18-21 May 2009, pp. 622-629. ISBN 9781424429585 (doi: 10.1109/CEC.2009.4983003)

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Abstract

In this paper, a fuzzy selection-based differential evolution algorithm (FSBDE) for analog cell sizing is investigated. By combining the selection-based constraint handling method and fuzzy membership functions, a new selection methodology for handling fuzzy constraints is proposed and is integrated with the differential evolution (DE) algorithm to construct FSBDE. FSBDE specializes in solving analog sizing problems capturing imprecise human intentions, both avoiding the inflexibility of crisp constraint sizing methods and the excessive relaxation of available fuzzy sizing approaches. The high optimization ability of the DE algorithm is also inherited in this approach. Comparisons are carried out with the crisp selection-based differential evolution algorithm (SBDE) and DE in conjunction with available fuzzy optimization methods, showing that the proposed FSBDE algorithm presents important advantages in terms of fuzzy constraint handling ability and optimization quality.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Liu, Dr Bo
Authors: Liu, B., Fernández, F. V., and Gielen, G.
College/School:College of Science and Engineering > School of Engineering
ISSN:1089-778X
ISBN:9781424429585
Published Online:29 May 2009

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