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Method for scheduling multi-spacecraft parallel test task based on genetic algorithm

A test task and genetic algorithm technology, applied in the field of multi-spacecraft parallel test task scheduling based on genetic algorithm, can solve problems such as test tasks that cannot be interrupted, multiple test tasks, and complex resource constraints.

Active Publication Date: 2011-07-13
BEIHANG UNIV +1
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0006] 3. Once the test task starts, it cannot be interrupted;
[0020] The characteristics of multi-spacecraft parallel test task scheduling are highlighted in that spacecraft have priority relationships, multiple test tasks (large scale), complex resource constraints and large uncertainties, etc., which pose a considerable challenge to spacecraft parallel test task scheduling. challenge
In order to solve this problem and overcome the limitations of traditional parallel test task scheduling methods, and aiming at the characteristics of multi-spacecraft parallel test task scheduling, the present invention proposes a multi-spacecraft parallel test task scheduling method based on genetic algorithm in an uncertain environment

Method used

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  • Method for scheduling multi-spacecraft parallel test task based on genetic algorithm
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  • Method for scheduling multi-spacecraft parallel test task based on genetic algorithm

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Embodiment Construction

[0095] The present invention illustrates its specific implementation through a simple example of the parallel test task scheduling problem of three identical spacecraft. Each spacecraft has 8 test tasks, and the 0th and 7th tasks are virtual test tasks. The test timing constraints of each spacecraft are as follows: image 3 As shown, the test time, resource requirements and total resources of the test mission of each spacecraft are shown in Table 1. Spacecraft 1 has the highest priority, Spacecraft 2 has the second priority, and Spacecraft 3 has the lowest priority.

[0096]

[0097] Table 1

[0098] Based on the above data, the specific implementation steps of the present invention are as follows:

[0099] The first step genetic algorithm

[0100] According to the genetic algorithm proposed in the first step of the content of the invention, the solution to the scheduling model of parallel test tasks for multiple spacecraft is realized. The baseline scheduling and rescheduling in th...

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Abstract

The invention relates to a method for scheduling multi-spacecraft parallel test task based on genetic algorithm, which comprises the following steps: 1) performing genetic algorithm; 2) acquiring a basic line scheduling scheme; 3) re-scheduling; and 4) ending the design. The method provided by the invention has the advantages that: 1) the influence of uncertain factors is considered and the feasibility of scheduling scheme is maintained all the time; 2) the generated scheduling scheme has shorter test period; and 3) the problem of large-scale spacecraft parallel test task scheduling can be efficiently solved.

Description

Technical field [0001] The invention relates to a genetic algorithm-based parallel test task scheduling method for multiple spacecraft, in particular to a genetic algorithm-based parallel test task scheduling method for multiple spacecraft in an uncertain environment. The invention belongs to the technical field of parallel testing. Background technique [0002] In recent years, my country’s aerospace technology has developed rapidly, and aerospace technology has begun to rapidly expand from the field of national defense and military to the field of civil aerospace. The number of spacecraft in my country has increased dramatically, and the development and production of spacecraft has entered the stage of mass production. The traditional spacecraft test uses a serial test method-low test efficiency, low resource utilization, and high test cost. This test method can no longer meet the requirements of spacecraft mass production. Under this circumstance, there is an urgent need to c...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F9/44
Inventor 郑征林树民常进刘一帆蔡开元
Owner BEIHANG UNIV
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