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Authors: Adrian Serbencu ; Viorel Mînzu ; Daniela Cernega and Adriana Serbencu

Affiliation: “Dunarea de Jos” Galati University, Romania

Keyword(s): Discrete optimization, Manufacturing, Metaheuristics, Stochastic descent, Ant Colony Systems.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Formal Methods ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Planning and Scheduling ; Simulation and Modeling ; Symbolic Systems

Abstract: This paper proposes a metaheuristic for solving the Single Machine Scheduling Problem that is implemented by a hybrid system made up of an Ant Colony System and a stochastic descent algorithm called Kangaroo. The hybrid system is based on the collaboration between a social type multiagent system and an Iterated Solution Improvement method.

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Paper citation in several formats:
Serbencu, A.; Mînzu, V.; Cernega, D. and Serbencu, A. (2009). A HYBRID METAHEURISTIC FOR SOLVING SINGLE MACHINE SCHEDULING PROBLEM. In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO; ISBN 978-989-8111-99-9; ISSN 2184-2809, SciTePress, pages 68-74. DOI: 10.5220/0002210700680074

@conference{icinco09,
author={Adrian Serbencu. and Viorel Mînzu. and Daniela Cernega. and Adriana Serbencu.},
title={A HYBRID METAHEURISTIC FOR SOLVING SINGLE MACHINE SCHEDULING PROBLEM},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO},
year={2009},
pages={68-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002210700680074},
isbn={978-989-8111-99-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO
TI - A HYBRID METAHEURISTIC FOR SOLVING SINGLE MACHINE SCHEDULING PROBLEM
SN - 978-989-8111-99-9
IS - 2184-2809
AU - Serbencu, A.
AU - Mînzu, V.
AU - Cernega, D.
AU - Serbencu, A.
PY - 2009
SP - 68
EP - 74
DO - 10.5220/0002210700680074
PB - SciTePress