A Parallel Test Task Scheduling of Integrated Avionics System Based on the Ant Colony Algorithm

Guo Quan Zhang; Guo Qing Shi; Hao Guang Zhao; Yong Hong Chen

doi:10.4028/www.scientific.net/AMM.713-715.2069

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715A Parallel Test Task Scheduling of Integrated...

A Parallel Test Task Scheduling of Integrated Avionics System Based on the Ant Colony Algorithm

Abstract:

Parallel testing is the key to achieving parallel test task scheduling, and its core is allocating resources fairly and reasonably to the test tasks, then rearrange the execution order of the test tasks in meeting the priority relationship between the resource constraints and the conditions of the test tasks, making the whole test mission of this system can be completed in the shortest possible time and improving the test efficiency. The basic ant colony algorithm has been improved in this paper to fit the parallel test task scheduling and to obtain the task scheduling sequence that complete all testing tasks in shortest test time.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2069-2072

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2069

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Online since:

January 2015

Authors:

Guo Quan Zhang, Guo Qing Shi*, Hao Guang Zhao, Yong Hong Chen

Keywords:

Ant Colony Optimization, Parallel Test, Resources Allocation, Task Scheduling

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* - Corresponding Author

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