A Novel Firefly Algorithm for the Choice for the Site of the Urban Public Transport Station Problem

Jing Xing Fan; Yue Guang Li

doi:10.4028/www.scientific.net/AMM.389.963

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 389A Novel Firefly Algorithm for the Choice for the...

A Novel Firefly Algorithm for the Choice for the Site of the Urban Public Transport Station Problem

Abstract:

In this paper, according to the characteristics of the site of the urban public transport station problem, a mathematical model of the urban public transport station problem was established. A Novel Firefly Algorithm was used to solve the model, with Hezuo city of Gansu Province as example, the algorithm was experimented and the experimental results show that the novel firefly algorithm has better feasibility for the site of the urban public transport station problem.

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Periodical:

Applied Mechanics and Materials (Volume 389)

Pages:

963-968

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.389.963

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Online since:

August 2013

Authors:

Jing Xing Fan, Yue Guang Li

Keywords:

Bionics, Firefly Algorithm, Hezuo City, Site of the Urban Public Transport Station

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References

[1] Wang Lin, Chen Dapeng. Analysis and Fuzzily Appraisement of the Choice for the Site of the Public Transport. Technology & Economy in Area of Communications. 2009(1): 43-45.

Google Scholar

[2] Krishnanand K N，Ghose D． Detection of multiple source locations using a glowworm metaphor with applications to collective robotics［C］/ /Proc of IEEE Swarm Intelligence Symposium． Piscataway: IEEE Press， 2005: 84-91.

DOI: 10.1109/sis.2005.1501606

Google Scholar

[3] Yang Xinshe． Nature inspired meta heuristic algorithms［M］．［S．l．］: Luniver Press， 2008: 83-96.

Google Scholar

[4] Yang Xinshe． Firefly algorithms for multimodal optimization［C］/ /Proc of the 5th International Symposium on Stochastic Algorithms: Foundations and Applications．2009: 169-178.

DOI: 10.1007/978-3-642-04944-6_14

Google Scholar

[5] Yang Xinshe， DEB S． Eagle strategy using lévy walk and firefly algorithms for stochasticoptimization［J］． Studies in Computational Intelligence， 2010， 284: 101-1.

DOI: 10.1007/978-3-642-12538-6_9

Google Scholar

[6] Yang Xinshe. Firefly algorithms for multimodal optimization[C]/Proceedings of the 5th International Conference on Stochastic Algorithms: Foundations and Applications. Berlin/Heidelberg, Germany: Springer-Verlag, 2009: 169-178.

DOI: 10.1007/978-3-642-04944-6_14

Google Scholar

[7] Brown C T, Liebovitch L S, Glendon R. Lévy flights in Dobe Ju' hoansi foraging patterns[J]. Human Ecology, 2007, 35(1): 129-138.

DOI: 10.1007/s10745-006-9083-4

Google Scholar

[8] YANG Xinshe. Firefly algorithm, stochastic test and design optimization [J]. International Journal Bio-Inspired Computation, 2010, 2(2): 78-84.

Google Scholar