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VAŠÍČEK, Z.; SEKANINA, L.
Original Title
Circuit Approximation Using Single- and Multi-Objective Cartesian GP
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
In this paper, the approximate circuit design problem is formulated as a multi-objective optimization problem in which the accuracy and power consumption are conflicting design objectives. We compare multi-objective and single-objective Cartesian genetic programming in the task of parallel adder and multiplier approximation. It is analyzed how the setting of the methods, formulating the problem as multi-objective or single-objective, and constraining the execution time can influence the quality of results. One of the conclusions is that the multi-objective approach is useful if the number of allowed evaluations is low. When more time is available, the single-objective approach becomes more efficient.
English abstract
Keywords
approximate circuit, Cartesian genetic programming, design method, multiobjective optimization
Key words in English
Authors
RIV year
2016
Released
11.04.2015
Publisher
Springer International Publishing
Location
Berlin
ISBN
978-3-319-16500-4
Book
Genetic Programming
Edition
Lecture Notes in Computer Science
Volume
9025
Pages from
217
Pages to
229
Pages count
12
URL
https://www.fit.vut.cz/research/publication/10763/
BibTex
@inproceedings{BUT119796, author="Zdeněk {Vašíček} and Lukáš {Sekanina}", title="Circuit Approximation Using Single- and Multi-Objective Cartesian GP", booktitle="Genetic Programming", year="2015", series="Lecture Notes in Computer Science", volume="9025", pages="217--229", publisher="Springer International Publishing", address="Berlin", doi="10.1007/978-3-319-16501-1\{_}18", isbn="978-3-319-16500-4", url="https://www.fit.vut.cz/research/publication/10763/" }
Documents
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