Efficient algorithms for decision making and coverage deployment of connected multi-low-altitude platforms
作者：
Highlights：
• Modeling the multi-UAVs selection and deployment as two multi-objective subproblems.
• Proposition of novel multi-objective decision-making and constraints-handling method.
• Proposition of an efficient fast multi-objective preference guided genetic algorithm.
• Designing a hybrid heuristic that expands the view by rotating UAVs’ onboard cameras.
• Vigorous comparative analysis with numerous state-of-the-art techniques.
摘要
•Modeling the multi-UAVs selection and deployment as two multi-objective subproblems.•Proposition of novel multi-objective decision-making and constraints-handling method.•Proposition of an efficient fast multi-objective preference guided genetic algorithm.•Designing a hybrid heuristic that expands the view by rotating UAVs’ onboard cameras.•Vigorous comparative analysis with numerous state-of-the-art techniques.
论文关键词：Unmanned aerial vehicle,Low-altitude platform,Multi-criteria decision-making,Coverage optimization problem,Genetic algorithm
论文评审过程：Received 12 December 2020, Revised 6 May 2021, Accepted 29 June 2021, Available online 10 July 2021, Version of Record 23 July 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115529
