Towards Compositional Coevolution in Evolutionary Circuit Design

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112015" target="_blank" >RIV/00216305:26230/14:PU112015 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.fit.vut.cz/research/publication/10655/" target="_blank" >https://www.fit.vut.cz/research/publication/10655/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICES.2014.7008735" target="_blank" >10.1109/ICES.2014.7008735</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards Compositional Coevolution in Evolutionary Circuit Design

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Towards Compositional Coevolution in Evolutionary Circuit Design

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2014 IEEE International Conference on Evolvable Systems Proceedings

ISBN

978-1-4799-4479-8

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

157-164

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

Piscataway

Místo konání akce

Orlando

Datum konání akce

9. 12. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000361481400021