loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Nuno Abreu and Aníbal Matos

Affiliation: INESC TEC and FEUP - DEEC, Portugal

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.237.140.238

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 2: ICINCO; ISBN 978-989-758-039-0; ISSN 2184-2809, SciTePress, 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 2: ICINCO},
year={2014},
pages={228-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005043102280235},
isbn={978-989-758-039-0},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Using Evolutionary Algorithms to Plan Automatic Minehunting Operations
SN - 978-989-758-039-0
IS - 2184-2809
AU - Abreu, N.
AU - Matos, A.
PY - 2014
SP - 228
EP - 235
DO - 10.5220/0005043102280235
PB - SciTePress