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DRAHOŠOVÁ, M. KOMJÁTHY, G. SEKANINA, L.
Original Title
Towards Compositional Coevolution in Evolutionary Circuit Design
Type
conference paper
Language
English
Original Abstract
A divide and conquer approach is one of the methods introduced to get over the scalability problem of the evolutionary circuit design. A complex circuit is decomposed into modules which are evolved separately and without any interaction. The benefits are in reducing the search space and accelerating the evaluation of candidate circuits. In this paper, the evolution of non-interacting modules is replaced by a coevolutionary algorithm, in which the fitness of a module depends on fitness values of other modules, i.e. the modules are adapted to work together. The proposed method is embedded into Cartesian genetic programming (CGP). The coevolutionary approach was evaluated in the design of a switching image filter which was decomposed into the filtering module and detector module. The filters evolved using the proposed coevolutionary method show a higher quality of filtering in comparison with filters utilizing independently evolved modules. Furthermore, the whole design process was accelerated 1.31 times in comparison with the standard CGP.
Keywords
Compositional coevolution, digital circuit design, cartesian genetic programming, switching filter design.
Authors
DRAHOŠOVÁ, M.; KOMJÁTHY, G.; SEKANINA, L.
RIV year
2014
Released
12. 12. 2014
Publisher
Institute of Electrical and Electronics Engineers
Location
Piscataway
ISBN
978-1-4799-4479-8
Book
2014 IEEE International Conference on Evolvable Systems Proceedings
Pages from
157
Pages to
164
Pages count
8
URL
https://www.fit.vut.cz/research/publication/10655/
BibTex
@inproceedings{BUT111610, author="Michaela {Drahošová} and Gergely {Komjáthy} and Lukáš {Sekanina}", title="Towards Compositional Coevolution in Evolutionary Circuit Design", booktitle="2014 IEEE International Conference on Evolvable Systems Proceedings", year="2014", pages="157--164", publisher="Institute of Electrical and Electronics Engineers", address="Piscataway", doi="10.1109/ICES.2014.7008735", isbn="978-1-4799-4479-8", url="https://www.fit.vut.cz/research/publication/10655/" }