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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | de Oliveira, P.P.B. Interciso, M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Universidade Presbiteriana Mackenzie, Pós-Graduação em Engenharia Elétrica, Rua da Consolação 896 - Consolação 01302-907 São Paulo - Brazil (Interciso, M.) || Universidade Presbiteriana Mackenzie, Faculdade de Computação e Informàtica, Rua da Consolação 896 - Consolação 01302-907 São Paulo - Brazil (de Oliveira, P.P.B.) |
| Abstract | Standard practice for searching binary, one-dimensional cellular automata rule space, relies on representing the candidate rule numbers by their corresponding binary sequence. Recently the use of ternary representation has been tried, which is based upon the traditional notion of schemata in genetic algorithms, though not with a focus on their effectiveness for the search. Here, we specifically go about such an evaluation, in the context of the classical benchmark task of density classification, in which the objective is to find a binary, one-dimensional rule that indicates the prevailing bit in a binary sequence, given to the rule as an initial configuration. The role of ternary representation is probed by comparing their introduction into two simple and traditional genetic algorithms of the literature, developed for the task. The experiments show that the ternary representation can lead to an increase in the number of high performance rules found for the task. |
| Starting Page | 1920 |
| Ending Page | 1926 |
| File Size | 340198 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424478347 |
| e-ISBN | 9781424478354 |
| DOI | 10.1109/CEC.2011.5949850 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetic algorithms Discrete cosine transforms Lattices Automata Integrated circuits Table lookup Benchmark testing emergent computation Cellular automata genetic algorithm schemata ternary representation building block density classification task |
| Content Type | Text |
| Resource Type | Article |
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