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Hyper-heuristic algorithm-based satellite task planning method

A heuristic algorithm and task planning technology, applied in computing, data processing applications, forecasting, etc., can solve problems such as blindness in search and inability to obtain high-quality solutions

Active Publication Date: 2017-02-08
HEFEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0005] (1) Most of the planning methods based on sub-heuristic algorithms do not make full use of the heuristic knowledge related to the priority of the goal contained in the planning problem, so the search is blind;
[0006] (2) The planning method based on a single heuristic rule, although it can provide an indicative direction for the iterative search of the algorithm during planning, so as to quickly obtain an acceptable solution, but based on a single heuristic rule Constructed methods often fail to obtain high-quality solutions

Method used

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  • Hyper-heuristic algorithm-based satellite task planning method
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  • Hyper-heuristic algorithm-based satellite task planning method

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Embodiment Construction

[0091] In this embodiment, a satellite mission planning method based on a hyperheuristic algorithm is applied by N T goals N s imaging satellites and N P ground stations In the task planning scenario constituted; t i Indicates the i-th target, 1≤i≤N T ;s j Indicates the jth imaging satellite, let the jth imaging satellite s j The maximum storage for M max ; The jth imaging satellite s j With an imaging sensor, and has simultaneous imaging and transmission functions, 1≤j≤N s ;p l Indicates the lth ground station, the lth ground station p l Can simultaneously receive imaging data transmitted by multiple imaging satellites, 1≤l≤N p ;

[0092] Each target corresponds to an observed benefit value, remember the i-th task t i The corresponding observed payoff is f(t i ); Each target corresponds to a delivery date, record the i-th task t i The corresponding lead time is h(t i ); Each target corresponds to a storage consumption, remember the i-th task t i The corre...

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Abstract

The invention discloses a hyper-heuristic algorithm-based satellite task planning method. The method includes the following steps that: 1, the priority dominance relation data of a target are obtained; and 2, a tabu search algorithm or a simulated annealing sub-heuristic algorithm is adopted to search priority combinations so as to obtain a planning result. According to the method of the invention, the sub-heuristic algorithm is adopted to search the combined application of the heuristic rule information of multi-angle priorities, and therefore, a super-heuristic algorithm-based and efficiently robust satellite imaging and transmission joint planning method can be provided.

Description

technical field [0001] The invention belongs to the technical field of satellite mission planning, in particular to a multi-satellite imaging and transmission joint mission planning method. Background technique [0002] A satellite is a machine manufactured by humans and launched into space. It flies in a certain orbit and revolves around the earth. Imaging satellites can image the areas of the earth that they pass through and cover through the onboard imaging sensors, and transmit the images back to the ground station for use by ground users. At present, imaging satellites play an important role in many application fields such as national defense and people's livelihood, such as environmental monitoring, land survey, target search, emergency rescue, etc. Satellite mission planning is an important link in the daily management and control of satellites. It is used to deal with users' competition for satellite resources, so that scarce satellite resources can meet user needs ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/063
Inventor 胡笑旋朱外明靳鹏夏维罗贺马华伟张烨
Owner HEFEI UNIV OF TECH
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