DocumentCode
2316941
Title
Designing electronic circuits using Cultural Algorithms
Author
Yan, Xuesong ; Wang, Kang ; Jin, Jian ; Liang, Qingzhong ; Hu, Chenyu
Author_Institution
Sch. of Comput. Sci., China Univ. of Geosci., Wuhan, China
fYear
2010
fDate
25-27 Aug. 2010
Firstpage
299
Lastpage
303
Abstract
This work investigates the application of cultural algorithms in the field of evolutionary electronics. Cultural Algorithms is an evolutionary model inspired by the cultural evolution process which shows many excellent characteristics and has succeeded in solving some complicated problems. Based on the population space in which individual evolves, the belief space is constructed, in which effective implicit information during the evolution process are abstracted and utilized. We propose the new means for designing electronic circuits and introduce the encoding of the circuit as a chromosome, the genetic operators and the fitness function. For the case studies, this means has proved to be efficient and the experiment results show that the new means have got the better results.
Keywords
encoding; genetic algorithms; network synthesis; belief space; chromosome; cultural algorithms; effective implicit information; electronic circuit design; encoding; evolutionary electronics; fitness function; genetic operators; population space; Adders; Algorithm design and analysis; Biological cells; Cultural differences; Electronic circuits; Geometry; Logic gates;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on
Conference_Location
Suzhou, Jiangsu
Print_ISBN
978-1-4244-6334-3
Type
conf
DOI
10.1109/IWACI.2010.5585126
Filename
5585126
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