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Authors: Pasquale Arpaia 1 ; Domenico Maisto 2 and Carlo Manna 3

Affiliations: 1 Università del Sannio, Switzerland ; 2 Institute for High-Performance Computing and Networking (ICAR) and Italian National Research Council (CNR), Italy ; 3 Università degli Studi di Napoli Federico II, Italy

Keyword(s): Artificial Intelligence, Optimization Methods, Maintenance, Scheduling.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biocomputing and Complex Adaptive Systems ; Co-Evolution and Collective Behavior ; Computational Intelligence ; Evolutionary Computing ; Soft Computing

Abstract: A bit-encoded heuristic evolutionary optimization algorithm inspired by the Generalized Extremal Optimization method is presented. The proposed evolutionary approach aims at optimizing a predictive maintenance scheduling problem characterized by an analytically intractable objective function. A preliminary comparison with a standard genetic algorithm on a set of high-dimension cases of the considered maintenance problem shows better performance for the proposed approach.

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Paper citation in several formats:
Arpaia, P.; Maisto, D. and Manna, C. (2010). A GENERALIZED EXTREMAL OPTIMIZATION-INSPIRED ALGORITHM FOR PREDICTIVE MAINTENANCE SCHEDULING PROBLEMS. In Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC; ISBN 978-989-8425-31-7, SciTePress, pages 70-76. DOI: 10.5220/0003080200700076

@conference{icec10,
author={Pasquale Arpaia. and Domenico Maisto. and Carlo Manna.},
title={A GENERALIZED EXTREMAL OPTIMIZATION-INSPIRED ALGORITHM FOR PREDICTIVE MAINTENANCE SCHEDULING PROBLEMS},
booktitle={Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC},
year={2010},
pages={70-76},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003080200700076},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation (IJCCI 2010) - ICEC
TI - A GENERALIZED EXTREMAL OPTIMIZATION-INSPIRED ALGORITHM FOR PREDICTIVE MAINTENANCE SCHEDULING PROBLEMS
SN - 978-989-8425-31-7
AU - Arpaia, P.
AU - Maisto, D.
AU - Manna, C.
PY - 2010
SP - 70
EP - 76
DO - 10.5220/0003080200700076
PB - SciTePress

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