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Authors: Marcos Guerine ; Isabel Rosseti and Alexandre Plastino

Affiliation: Federal Fluminense University, Brazil

Keyword(s): Hybrid Metaheuristic, Data Mining, GRASP, 1-PDTSP.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Operational Research ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: The incorporation of data mining techniques into metaheuristics has been efficiently adopted to solve several optimization problems. Nevertheless, we observe in the literature that this hybridization has been limited to problems in which the solutions are characterized by sets of (unordered) elements. In this work, we develop a hybrid data mining metaheuristic to solve a problem for which solutions are defined by sequences of elements. This way, we extend the domain of combinatorial optimization problems which can benefit from the combination of data mining and metaheuristic. Computational experiments showed that the proposed approach improves the pure algorithm both in the average quality of the solution and in execution time.

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Paper citation in several formats:
Guerine, M.; Rosseti, I. and Plastino, A. (2014). Extending the Hybridization of Metaheuristics with Data Mining to a Broader Domain. In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-989-758-027-7; ISSN 2184-4992, SciTePress, pages 395-406. DOI: 10.5220/0004891303950406

@conference{iceis14,
author={Marcos Guerine. and Isabel Rosseti. and Alexandre Plastino.},
title={Extending the Hybridization of Metaheuristics with Data Mining to a Broader Domain},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2014},
pages={395-406},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004891303950406},
isbn={978-989-758-027-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - Extending the Hybridization of Metaheuristics with Data Mining to a Broader Domain
SN - 978-989-758-027-7
IS - 2184-4992
AU - Guerine, M.
AU - Rosseti, I.
AU - Plastino, A.
PY - 2014
SP - 395
EP - 406
DO - 10.5220/0004891303950406
PB - SciTePress

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