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• W2000461509 startingPage "365" @default.
• W2000461509 abstract "An Unmanned Aerial Vehicle (UAV) is a powered pilotless aircraft, which is controlled remotely or autonomously. UAVs are an attractive alternative for many scientific and military organizations. UAVs can perform operations that are considered to be risky or uninhabitable for humans. UAVs are currently employed in many military missions and a number of civilian applications. For accomplishing the UAV's missions, guarantee of survivability should be preceded. The main objective of this study is to suggest a mathematical programming model and a <TEX>$A^*PS$</TEX>_PGA (A-star with Post Smoothing_Parallel Genetic Algorithm) for Multiple UAVs's path planning to maximize survivability. A mathematical programming model is composed by using MRPP (Most Reliable Path Problem) and MTSP (Multiple Traveling Salesman Problem). After transforming MRPP into Shortest Path Problem (SPP),<TEX>$A^*PS$</TEX>_PGA applies a path planning for multiple UAVs." @default.
• W2000461509 created "2016-06-24" @default.
• W2000461509 creator A5005567974 @default.
• W2000461509 creator A5042041012 @default.
• W2000461509 date "2012-09-01" @default.
• W2000461509 modified "2023-10-04" @default.
• W2000461509 title "Mission Path Planning to Maximize Survivability for Multiple Unmanned Aerial Vehicles based on 3-dimensional Grid Map" @default.
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• W2000461509 doi "https://doi.org/10.7232/ieif.2012.25.3.365" @default.
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