The algorithms for solving the remote satellite scheduling problem are less effective usually in single computing environment. This paper designed a framework of ant colony algorithm for remote satellite and ground integration scheduling problem in the parallel environment, and given the detail of key steps in the algorithm. Experiments are show at the end of this paper to prove effective and validation.
With the increased number of earth observation satellites, the process of acquiring high quality solution schedule for multi-satellite, multi-orbit and multi-user is more difficult than before. The multi-objective hierarchical genetic algorithm with preference and dynamic heuristic algorithm are proposed to solve the dynamic scheduling problem of earth observation satellite system. The experimental results performed on some benchmark problems suggest that this proposed approach is effective to the dynamic scheduling system.
Chongqing Fuling Fifth landslide is a large landslide along the layers of rock. It has the following characteristics such as high sliding speed, serious damage and other characteristics. Based on landslide characteristics and governance requirements, we set three governance programs. Considering the function and cost, we use DARE method for value engineering analysis. The analysts believe that an optimum solution can be given priority, and the program has also been recommended by the review panel members unanimously approved. Upon completion of the large program selection, we further analyzed the principle of value for the selected program to optimize the sub-projects, which achieved good economic and social benefits of cost-effectiveness.
Guided by the application requirements of imaging satellite, this work focuses on the model construction and heuristic rule design to the joint scheduling problem of multi imaging satellites. It analyses the imaging procedure, imaging constraints, inputs and outputs, the basic scheduling flow and characteristics of the joint scheduling problem of multi imaging satellites. The heuristic algorithm was proposed to effectively solve this problem. Finally, a multi imaging satellites scheduling system is developed.
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