Artificial Bee Colony Algorithm for the Parallel Test Tasks Scheduling

Lian Chen; Ming Qing Xiao; Hang Yu; Liang Liang Zhao

doi:10.4028/www.scientific.net/AMR.591-593.2478

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Artificial Bee Colony Algorithm for the Parallel...

Artificial Bee Colony Algorithm for the Parallel Test Tasks Scheduling

Abstract:

Parallel test is the key technology of the NxTest technology and the parallel test tasks scheduling is one of the important part of parallel test. The mathematical model of the problem was introduced, according to the advantage of solving the problem of dynamic scheduling with artificial bee colony algorithm; an approach of parallel test scheduling based on artificial bee colony algorithm is brought forward. An example was given, the result of simulation shows that this algorithm’s constringency fast and the result has a high precision, it is an efficient way of solving the problem of optimized parallel test tasks scheduling.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

2478-2481

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.2478

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Online since:

November 2012

Authors:

Lian Chen, Ming Qing Xiao, Hang Yu, Liang Liang Zhao

Keywords:

Artificial Bee Colony Algorithm (ABC), Parallel Test, Test Tasks Scheduling

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References

[1] Xiaoping Zhu, Mingqing Xiao, Rui Xia, Summary of parallel test technology, J. Journal of Air Force Engineering University. 6 (2006) 22-25.

Google Scholar

[2] Xinhua Fu, Mingqing Xiao, Novel ant colony algorithm for parallel test task scheduling, J. Journal of system simulation. 20 (2008) 4352-4356.

Google Scholar

[3] Rui Xia, Mingqing Xiao, Jinjun Cheng, Optimization for the Parallel Test Task Scheduling Based on hybrid GASA, J. Journal of system simulation. 19(2009) 3564-3567.

Google Scholar

[4] Zeqiang Bian, Xiaofeng Meng, Yue Chen, The algorithm for task scheduling based on the minimum distance in the signal parameters set, J. Journal of system simulation. 18 (2006) 2409-2411.

Google Scholar

[5] Karaboga D. An Idea Based On Honey Bee Swarm for Numerical Optimization. D. Erciyes University, (2005).

Google Scholar

[6] B. Akay D K. A modified Artificial Bee Colony algorithm for real-parameter optimization, J. Information Sciences. (2010) 1012-1016.

DOI: 10.1016/j.ins.2010.07.015

Google Scholar

[7] Jinliang Yang, Liang Ma, Wasp colony algorithm for vehicle routing problem, J. Computer Engineering and Applications. 46 (2010). 214-216.

Google Scholar

[8] Lale Ozbaklr P T. Bee conlony intelligence in zone constrained two-sided assembly line balancing problem, J. Expert Systems With applications. 38 (2011) 11947-11957.

DOI: 10.1016/j.eswa.2011.03.089

Google Scholar

[9] Sanjay K. Dhurandher S M P P. Using bee algorithm for peer-to-peer file searching in mobile ad hoc networks, J. Journal of Network And Computer Applications. 10 (2010) 1016-1020.

DOI: 10.1016/j.jnca.2010.10.010

Google Scholar