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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xia Xuewen Li Zhiming Gui Ling |
| Copyright Year | 2011 |
| Description | Author affiliation: Library of Xiaogan College, Hubei, China, 432000 (Gui Ling) || Dept. of Computer and Information Science, Xiaogan College, Hubei, China, 432000 (Xia Xuewen; Li Zhiming) |
| Abstract | During the past decade, using genetic algorithm (GA) to design circuit, which called as evolvable hardware (EHW) technology, had attracted many experts' attention. In this paper, EHW based on variant-length cellular automata (CA) to designed combination logic circuit is described. The state of cell in CA is no longer as ‘0’ or ‘1’ but a bits string that indicates an embryonic circuit. The length of cell's encodes is dynamically grow while a correct circuit is not been found. Each cell in CA can exchange information with their neighbor in parallel. The experiments have indicated that parallel evolutionary strategy combining with dynamic developed encoding method can automatically design and optimize the object circuit efficiently. |
| Starting Page | 2081 |
| Ending Page | 2084 |
| File Size | 190814 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781612847719 |
| e-ISBN | 9781612847740 |
| DOI | 10.1109/ICMT.2011.6002366 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetic algorithm Automata Evolutionary computation Logic gates Hardware Arrays Finite element methods Evolvable hardware Variant-length cellular automatat Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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