| Research Title |
A Differential Evolution-based Rule Ordering of Cellular Automata for Classification |
| Date of Distribution |
9 August 2018 |
| Conference |
| Title of the Conference |
THE 2018 - 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SMART TECHNOLOGY |
| Organiser |
Knowledge and Smart Techology Research Center Faculty of Informatics, Burapha University |
| Conference Place |
Kantary Hills, Chiangmai, Thailand |
| Province/State |
Chaimai |
| Conference Date |
31 December 2017 |
| To |
3 January 2018 |
| Proceeding Paper |
| Volume |
2018 |
| Issue |
10 |
| Page |
34 - 39 |
| Editors/edition/publisher |
IEEE |
| Abstract |
This paper proposed a differential evolution-based rule ordering of cellular automata for classification, called DEROCA. DEROCA aims to improve the performance of Cellular Automata-based Classifier (CAC) previously presented. CAC faced a problem of rule ordering in classification. It utilized Genetic Algorithm (GA) which reported the drawback when copes with complicated problems with high dimension space. This paper gets rid of such a limitation by computing Differential Evolution (DE) in the phase of rule ordering. For performance evaluation, a number of datasets consisting of binary and nonbinary features was empirically experimented in comparison with CAC and Support Vector Machines (SVM). In this regard, DEROCA provided the outstanding results reporting the outstanding performance on average better than CAC and SVM, respectively. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
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| Citation |
0
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Publication
Journal Publication
ไทย