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Authors: Robin T. Bye ; Siebe B. van Albada and Harald Yndestad

Affiliation: Ålesund University College, Norway

ISBN: 978-989-8425-31-7

Keyword(s): Genetic algorithm, Receding horizon predictive control, Resource allocation, Multi-target tracking, Dynamic environments.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Robotics and Intelligent Agents ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing ; Swarm/Collective Intelligence

Abstract: Combining methodologies from cybernetics and artificial intelligence (AI), we present a receding horizon genetic algorithm (RHGA) for solving the task of dynamic assignment and tracking of multiple targets. We demonstrate the capabilities of the algorithm by means of a case study on optimal positioning of tugs to reduce the risk of oil tanker drifting accidents along the northern Norwegian coast. Through simulations we show that the RHGA performs intelligent target assignment and close target tracking while constantly reevaluating its suggested solutions based on current and predicted information. We see great potential for further development and consider our RHGA and problem description a platform for further research.

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Paper citation in several formats:
T. Bye, R.; B. van Albada, S. and Yndestad, H. (2010). A RECEDING HORIZON GENETIC ALGORITHM FOR DYNAMIC MULTI-TARGET ASSIGNMENT AND TRACKING - A Case Study on the Optimal Positioning of Tug Vessels along the Northern Norwegian Coast.In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010) ISBN 978-989-8425-31-7, pages 114-125. DOI: 10.5220/0003087101140125

@conference{icec10,
author={Robin T. Bye. and Siebe B. van Albada. and Harald Yndestad.},
title={A RECEDING HORIZON GENETIC ALGORITHM FOR DYNAMIC MULTI-TARGET ASSIGNMENT AND TRACKING - A Case Study on the Optimal Positioning of Tug Vessels along the Northern Norwegian Coast},
booktitle={Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)},
year={2010},
pages={114-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003087101140125},
isbn={978-989-8425-31-7},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010)
TI - A RECEDING HORIZON GENETIC ALGORITHM FOR DYNAMIC MULTI-TARGET ASSIGNMENT AND TRACKING - A Case Study on the Optimal Positioning of Tug Vessels along the Northern Norwegian Coast
SN - 978-989-8425-31-7
AU - T. Bye, R.
AU - B. van Albada, S.
AU - Yndestad, H.
PY - 2010
SP - 114
EP - 125
DO - 10.5220/0003087101140125

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