Hybrid Form of Particle Swarm Optimization and Genetic Algorithm For Optimal Path Planning in Coverage Mission by Cooperated Unmanned Aerial Vehicles

Hybrid Form of Particle Swarm Optimization and Genetic Algorithm For Optimal Path Planning in Coverage Mission by Cooperated Unmanned Aerial Vehicles

In this paper, a new form of open traveling salesman problem (OTSP) is used for path planning for optimal coverage of a wide area by cooperated unmanned aerial vehicles (UAVs). A hybrid form of particle swarm optimization (PSO) and genetic algorithm (GA) is developed for the current path planning p...

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Bibliographic Details
Main Authors: Hassan Haghighi, Seyed Hossein Sadati, S.M. Mehdi Dehghan, Jalal Karimi
Format: Article
Language:English
Published: Departamento de Ciência e Tecnologia Aeroespacial 2020-09-01
Series:Journal of Aerospace Technology and Management
Subjects:
hybrid algorithm
path planning
evolutionary method
multiple uavs
optimal patrolling
cooperated control
Online Access:https://www.scielo.br/pdf/jatm/v12/2175-9146-jatm-12-e4320.pdf

Internet

https://www.scielo.br/pdf/jatm/v12/2175-9146-jatm-12-e4320.pdf

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