research-article

Evolutionary path planner for UAVs in realistic environments

Authors:

Jesus Manuel de la Cruz,

Eva Besada-Portas,

Luis Torre-Cubillo,

Bonifacio Andres-Toro,

Jose Antonio Lopez-OrozcoAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1477 - 1484

https://doi.org/10.1145/1389095.1389383

Published: 12 July 2008 Publication History

Abstract

This paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Evolutionary Algorithms (EA) that can be used in realistic risky scenarios. The path returned by the algorithm fulfills and optimizes multiple criteria which (1) are calculated based on properties of real UAVs, terrains, radars and missiles, and (2) are used to rank the solutions according to the priority levels and goals selected for each mission. Developed originally to work with only one UAV, the planner currently allows us to obtain the optimal path of several UAVs that are flying simultaneously. It works globally offline and locally online to recalculate a part of the path when an unexpected threat appears. Finally, the effectiveness of the solutions given by this planner has been successfully tested against a simulator that implements a complex model of the UAV and its environment.

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Cited By

García AGonzález HSchupke D(2022)Hybrid Route Optimisation for Maximum Air to Ground Channel QualityJournal of Intelligent and Robotic Systems10.1007/s10846-022-01590-8105:2Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s10846-022-01590-8
Guo JXia WHu XMa H(2022)A spatiotemporal attention-based neural network to evaluate the route risk for unmanned aerial vehiclesApplied Intelligence10.1007/s10489-021-03029-352:14(15735-15750)Online publication date: 18-Mar-2022
https://doi.org/10.1007/s10489-021-03029-3
de Sousa Paula PSarmento WPaillard Gde Castro Mde Castro APinto JChagas do Nascimento RFelici-Castell SSamper Zapater J(2020)Using swarm intelligence in unmanned aerial vehicles for unknown location fixed target searchProceedings of the 10th Euro-American Conference on Telematics and Information Systems10.1145/3401895.3401931(1-8)Online publication date: 25-Nov-2020
https://dl.acm.org/doi/10.1145/3401895.3401931
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Index Terms

Evolutionary path planner for UAVs in realistic environments
1. Computing methodologies
  1. Artificial intelligence
    1. Planning and scheduling
    2. Search methodologies
      1. Heuristic function construction

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cover image ACM Conferences

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 July 2008

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GECCO08

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

García AGonzález HSchupke D(2022)Hybrid Route Optimisation for Maximum Air to Ground Channel QualityJournal of Intelligent and Robotic Systems10.1007/s10846-022-01590-8105:2Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s10846-022-01590-8
Guo JXia WHu XMa H(2022)A spatiotemporal attention-based neural network to evaluate the route risk for unmanned aerial vehiclesApplied Intelligence10.1007/s10489-021-03029-352:14(15735-15750)Online publication date: 18-Mar-2022
https://doi.org/10.1007/s10489-021-03029-3
de Sousa Paula PSarmento WPaillard Gde Castro Mde Castro APinto JChagas do Nascimento RFelici-Castell SSamper Zapater J(2020)Using swarm intelligence in unmanned aerial vehicles for unknown location fixed target searchProceedings of the 10th Euro-American Conference on Telematics and Information Systems10.1145/3401895.3401931(1-8)Online publication date: 25-Nov-2020
https://dl.acm.org/doi/10.1145/3401895.3401931
Exposito ASchupke DEsteban H(2020)Route Optimisation for Maximum Air to Ground Channel QualityIEEE Access10.1109/ACCESS.2020.30370758(203619-203630)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3037075
Iranmanesh SRaad RRaheel MTubbal FJan T(2020)Novel DTN Mobility-Driven Routing in Autonomous Drone Logistics NetworksIEEE Access10.1109/ACCESS.2019.29592758(13661-13673)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2019.2959275
Iranmanesh SRaad R(2019)A Novel Data Forwarding Strategy for a Drone Delay Tolerant Network with Range ExtensionElectronics10.3390/electronics80606598:6(659)Online publication date: 11-Jun-2019
https://doi.org/10.3390/electronics8060659
Heidari AAbaspour R(2017)An Efficient UAS Path Planning Strategy Based on Improved Imperialist Competitive AlgorithmJournal of Geospatial Information Technology10.29252/jgit.4.4.834:4(83-102)Online publication date: 1-Mar-2017
https://doi.org/10.29252/jgit.4.4.83
Pelosi MBrown M(2017)Improved search paths for camera-equipped UAVS in wilderness search and rescue2017 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI.2017.8280972(1-8)Online publication date: Nov-2017
https://doi.org/10.1109/SSCI.2017.8280972
Lin NHuang SGong CZhao LTang J(2017)UAV Path Planning Based on Adaptive WeightedNeural Information Processing10.1007/978-3-319-70136-3_31(287-297)Online publication date: 26-Oct-2017
https://doi.org/10.1007/978-3-319-70136-3_31
Rudnick-Cohen EHerrmann JAzarm S(2016)Risk-Based Path Planning Optimization Methods for Unmanned Aerial Vehicles Over Inhabited Areas 1Journal of Computing and Information Science in Engineering10.1115/1.403323516:2(021004)Online publication date: 27-Apr-2016
https://doi.org/10.1115/1.4033235
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