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Authors: Nuno Abreu and Aníbal Matos

Affiliation: INESC TEC and FEUP - DEEC, Portugal

ISBN: 978-989-758-039-0

Keyword(s): Evolutionary Algorithms, Neural Networks, Mission Planning, AUV, 3D Coverage, Minehunting.

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

Abstract: While autonomous underwater vehicles (AUVs) are increasingly being used to perform mine countermeasures (MCM) operations, the capability of these systems is limited by the efficiency of the planning process. In this paper we study the problem of multiobjective MCM mission planning with an AUV. In order to overcome the inherent complexity of the problem, a multi-stage algorithm is proposed and evaluated. Our algorithm combines an evolutionary algorithm (EA) with a local search procedure based on simulated annealing (SA), aiming at a more flexible and effective exploration and exploitation of the search space. An artificial neural network (ANN) model was also integrated in the evolutionary procedure to guide the search. The results show that the proposed strategy can efficiently identify a higher quality solution set and solve the mission planning problem.

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Paper citation in several formats:
Abreu, N. and Matos, A. (2014). Using Evolutionary Algorithms to Plan Automatic Minehunting Operations.In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-039-0, pages 228-235. DOI: 10.5220/0005043102280235

@conference{icinco14,
author={Nuno Abreu. and Aníbal Matos.},
title={Using Evolutionary Algorithms to Plan Automatic Minehunting Operations},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={228-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005043102280235},
isbn={978-989-758-039-0},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Using Evolutionary Algorithms to Plan Automatic Minehunting Operations
SN - 978-989-758-039-0
AU - Abreu, N.
AU - Matos, A.
PY - 2014
SP - 228
EP - 235
DO - 10.5220/0005043102280235

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