Task observation plan solution method and system based on genetic algorithm for multiple agile satellites
A genetic algorithm and mission planning technology, applied in the field of agile multi-satellite mission observation plan solution, can solve problems such as poor timeliness and low resource efficiency, and achieve the effects of improving efficiency, overcoming low resource efficiency, and meeting observation requirements
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[0035] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
[0036]The task planning and solving method of the present invention performs dynamic task decomposition on the observation area target according to the user's observation requirements, establishes a task planning constraint analysis model to solve the genetic search algorithm, optimizes and adjusts the meta-task with multiple visible time windows, and generates An observation plan that meets the constraints, thereby improving the utilization efficiency of satellite resources and the timeliness of mission observation.
[0037] The invention designs an agile multi-satellite mission observation plan solution method based on genetic algorithm, and a genetic algorithm-based agile multi-satellite mission observation plan solution method. In practical applications, such as figure 1 shown, including the following steps:
[0038] Step A. Acc...
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