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Author: Guillaume Sandou

Affiliation: Supélec, France

Keyword(s): Metaheuristics, unit commitment, ant colony, genetic algorithm, scheduling.

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

Abstract: In this paper, a cooperative metaheuristic for the solution of the Unit Commitment problem is presented. This problem is known to be a large scale, mixed integer problem. Due to combinatorial complexity, the exact solution is often intractable. Thus, a metaheuristic based method has to be used to compute a near optimal solution with low computation times. A new approach is presented here. The main idea is to couple a genetic algorithm to compute binary variables (on/off status of units), and an ant colony based algorithm to compute real variables (produced powers). Finally, results show that the cooperative method leads to the tractable computation of a satisfying solution for medium scale Unit Commitment problems.

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Paper citation in several formats:
Sandou, G. (2007). DISCRETE GENETIC ALGORITHM AND REAL ANT COLONY OPTIMIZATION FOR THE UNIT COMMITMENT PROBLEM. In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-972-8865-82-5; ISSN 2184-2809, SciTePress, pages 256-261. DOI: 10.5220/0001641602560261

@conference{icinco07,
author={Guillaume Sandou.},
title={DISCRETE GENETIC ALGORITHM AND REAL ANT COLONY OPTIMIZATION FOR THE UNIT COMMITMENT PROBLEM},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2007},
pages={256-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001641602560261},
isbn={978-972-8865-82-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - DISCRETE GENETIC ALGORITHM AND REAL ANT COLONY OPTIMIZATION FOR THE UNIT COMMITMENT PROBLEM
SN - 978-972-8865-82-5
IS - 2184-2809
AU - Sandou, G.
PY - 2007
SP - 256
EP - 261
DO - 10.5220/0001641602560261
PB - SciTePress