Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICSMC.2008.4811332
Title: A memetic evolutionary search algorithm with variable length chromosome for rule extraction
Authors: Ang, J.H.B.
Tan, K.C. 
Mamun, A.A. 
Issue Date: 2008
Source: Ang, J.H.B., Tan, K.C., Mamun, A.A. (2008). A memetic evolutionary search algorithm with variable length chromosome for rule extraction. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics : 535-540. ScholarBank@NUS Repository. https://doi.org/10.1109/ICSMC.2008.4811332
Abstract: This paper proposes a new memetic evolutionary approach for rule extraction from datasets. The evolutionary algorithm integrated an adaptive micro search intensity scheme inspired by Artificial Immune System (AIS) for local fine tuning of the rules. In addition, the rules are encoded using variable length representation allowing easy adaptation. Through the structural mutation and crossover operators, the appropriate number of rules is optimized. Simulation results of the proposed method on real world benchmarking datasets demonstrated the effectiveness of the algorithm. © 2008 IEEE.
Source Title: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
URI: http://scholarbank.nus.edu.sg/handle/10635/68870
ISSN: 1062922X
DOI: 10.1109/ICSMC.2008.4811332
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Dec 14, 2017

Page view(s)

14
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.