Particle Swarm Optimization Method for Panel Layout

Yu Qing Xu; Zhi Yang; Qing Xin Meng

doi:10.4028/www.scientific.net/KEM.450.308

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HomeKey Engineering MaterialsKey Engineering Materials Vol. 450Particle Swarm Optimization Method for Panel...

Particle Swarm Optimization Method for Panel Layout

Abstract:

Panel layout in control room of nuclear power plant requires satisfying layout principles and requirement for multiple operational conditions. Traditional panel layout methods are difficult to integrate these principles; the layout scheme heavily depends on designers’ individual judgments and experience. So the randomness of layout scheme is hard to overcome. Particle swarm optimization is a global efficient solution to complex optimization problems with multi-constraints. First, the operational efficiency is selected as optimization object. Second, objective function is constructed according to the evaluating indexes which include operation frequency, sequence and importance of components. Third, Particle swarm algorithm was used to optimize the layout scheme. A case study of layout optimization design is conducted to illustrate the proposed method.

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Periodical:

Key Engineering Materials (Volume 450)

Pages:

308-311

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.450.308

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Online since:

November 2010

Authors:

Yu Qing Xu, Zhi Yang, Qing Xin Meng

Keywords:

Control Room, Layout Optimisation, Panel Design, Particle Swarm Optimization Algorithm (PSO)

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References

[1] B. Zhang: Particle Swarm Optimization Algorithm for Satellite Module Layout Optimization (Dalian University of Technology, Dalian 2006).

Google Scholar

[2] Tasgetiren M F，Sevkli M, Liang Y C, et al: Lecture Notes in Computer Science. Vol. 3172 (2004), pp.382-389.

Google Scholar

[3] X. Yuan and H. Liu: Computer Applications. Vol. 9 (2007), pp.2349-2352.

Google Scholar

[4] M. S. Sanders and E. J. McCormick: Human Factors in Engineering and Design (Tsinghua university press, China 2002).

Google Scholar

[5] J. Kennedy and R. C. Eberhart, in: IEEE International Conference on Neural Networks - Conference Proceedings, edited by Anon, volume 4, IEEE (1995).

Google Scholar

[6] A. P. Engelbrecht: Fundanmentals of computational swarm intelligence (John Wiley & Sons, America 2009).

Google Scholar

[7] Y. Shi and R. Eberhart: Proceedings of the IEEE Conference on Evolutionary Computation, edited by Anon , IEEE (1998).

Google Scholar

[8] M. Clerc and J. Kennedy: IEEE Transactions on Evolutionary Computation, edited by Anon, volume 6, IEEE (2002).

Google Scholar