loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Eugene Semenkin and Vladimir Stanovov

Affiliation: Siberian State Aerospace University, Russian Federation

ISBN: 978-989-758-039-0

Keyword(s): Genetic Fuzzy Systems, Fuzzy Rule Base Classifiers, Automated Design, Evolutionary Algorithms.

Related Ontology Subjects/Areas/Topics: Evolutionary Computation and Control ; Hybrid Learning Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications

Abstract: Self-configuring evolutionary algorithm of fuzzy rule bases automated deign for solving classification problems, which combines Pittsburgh and Michigan approaches, is introduced. The evolutionary algorithm is based on the Pittsburgh approach where every individual is a rule base and the Michigan approach is used as a mutation operator. A self-configuration method is used to adjust probabilities of the usage of selection, mutation and Michigan part operators. Testing the algorithm on a number of real-world problems demonstrates its efficiency comparing to several other commonly used approaches.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.229.126.29

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Semenkin, E. and Stanovov, V. (2014). Fuzzy Rule Bases Automated Design with Self-configuring Evolutionary Algorithm.In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-039-0, pages 318-323. DOI: 10.5220/0005062003180323

@conference{icinco14,
author={Eugene Semenkin. and Vladimir Stanovov.},
title={Fuzzy Rule Bases Automated Design with Self-configuring Evolutionary Algorithm},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={318-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005062003180323},
isbn={978-989-758-039-0},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Fuzzy Rule Bases Automated Design with Self-configuring Evolutionary Algorithm
SN - 978-989-758-039-0
AU - Semenkin, E.
AU - Stanovov, V.
PY - 2014
SP - 318
EP - 323
DO - 10.5220/0005062003180323

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.