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Authors: H. Panahi and R. Tavakkoli-Moghaddam

Affiliation: Faculty of Engineering, University of Tehran, Iran, Islamic Republic of

ISBN: 978-989-8111-37-1

ISSN: 2184-4992

Keyword(s): Clustering problems, Ant colony optimization, Genetic algorithms, Paired comparison test.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Evolutionary Programming ; Industrial Applications of Artificial Intelligence ; Intelligent Agents ; Internet Technology ; Web Information Systems and Technologies

Abstract: This paper presents a hybrid efficient method based on ant colony optimization (ACO) and genetic algorithms (GA) for clustering problems. This proposed method assumes that agents of ACO has life cycle which is variable and changes by a special function. We also apply three local searches on the basis of heuristic rules for the given clustering problem. This proposed method is implemented and tested on two real datasets. Further, its performance is compared with other well-known meta-heuristics, such as ACO, GA, simulated annealing (SA), and tabu search (TS). At last, paired comparison t-test is also applied to proof the efficiency of our proposed method. The associated output gives very encouraging results; however, the proposed method needs longer time to proceed.

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Paper citation in several formats:
Panahi, H. and Tavakkoli-Moghaddam, R. (2008). AN EFFICIENT HYBRID METHOD FOR CLUSTERING PROBLEMS.In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS, ISBN 978-989-8111-37-1, pages 288-294. DOI: 10.5220/0001703002880294

@conference{iceis08,
author={H. Panahi and R. Tavakkoli{-}Moghaddam},
title={AN EFFICIENT HYBRID METHOD FOR CLUSTERING PROBLEMS},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS,},
year={2008},
pages={288-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001703002880294},
isbn={978-989-8111-37-1},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS,
TI - AN EFFICIENT HYBRID METHOD FOR CLUSTERING PROBLEMS
SN - 978-989-8111-37-1
AU - Panahi, H.
AU - Tavakkoli-Moghaddam, R.
PY - 2008
SP - 288
EP - 294
DO - 10.5220/0001703002880294

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