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A SAT-based Fitness Function for Evolutionary Optimization of Polymorphic Circuits

SEKANINA Lukáš and VAŠÍČEK Zdeněk. A SAT-based Fitness Function for Evolutionary Optimization of Polymorphic Circuits. In: Proc. of the 2012 Design, Automation and Test in Europe. Dresden: European Design and Automation Association, 2012, pp. 715-720. ISBN 978-1-4577-2145-8.
Czech title
Fitness funkce využívající SAT solver pro evoluční optimalizaci polymorfních obvodů
Type
conference paper
Language
english
Authors
URL
Keywords
multifunction logic, logic synthesis, genetic programming
Abstract
Multifunctional (or polymorphic) gates have been utilized as building blocks for multifunctional circuits that are capable of performing various logic functions under different settings of control signals. In order to effectively synthesize the polymorphic circuits, several methods have been developed in the recent years. Unfortunately, the methods are applicable for small circuits only. In this paper, we propose a SAT-based functional equivalence checking algorithm to eliminate the fitness evaluation time which is the most critical overhead for genetic programming-based design and optimization of complex polymorphic circuits. The proposed approach has led to a 30% reduction of gates with respect to the solutions created using the polymorphic multiplexing combined with the optimization conducted by the ABC tool. 
Published
2012
Pages
715-720
Proceedings
Proc. of the 2012 Design, Automation and Test in Europe
Conference
Design, Automation and Test in Europe 2012, Dresden, DE
ISBN
978-1-4577-2145-8
Publisher
European Design and Automation Association
Place
Dresden, DE
DOI
BibTeX
@INPROCEEDINGS{FITPUB9750,
   author = "Luk\'{a}\v{s} Sekanina and Zden\v{e}k Va\v{s}\'{i}\v{c}ek",
   title = "A SAT-based Fitness Function for Evolutionary Optimization of Polymorphic Circuits",
   pages = "715--720",
   booktitle = "Proc. of the 2012 Design, Automation and Test in Europe",
   year = 2012,
   location = "Dresden, DE",
   publisher = "European Design and Automation Association",
   ISBN = "978-1-4577-2145-8",
   doi = "10.1109/DATE.2012.6176563",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9750"
}
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