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International Conference on Natural Computation

ICNC 2006: Advances in Natural Computation pp 180–183Cite as

Data Fitting Via Chaotic Ant Swarm

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4222))

Abstract

A novel method of data fitting via chaotic ant swarm (CAS) is presented in this paper. Through the construction of a suitable function, the problem of data fitting can be viewed as that of parameter optimization, and then the CAS is used to search the parameter space so as to find the optimal estimations of the system parameters. To investigate the performances of the CAS, the CAS is compared with the particle swarm optimization (PSO) on two test problems. Simulation results indicate that the CAS achieves better performances.

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References

  1. Li, L., Peng, H., Wang, X., Yang, Y.: An Optimization Method Inspired by “Chaotic” Ant Behavior. International Journal of Bifurcation and Chaos 16 (July 2006) (to appear)

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  2. Li, L., Yang, Y., Peng, H., Wang, X.: Parameters Identification of Chaotic Systems via Chaotic Ant Swarm. Journal of Chaos Solitons Fractals 28, 1204–1211 (2006)

    Article  MATH  Google Scholar 

  3. Parsopoulos, K., Vrahatis, M.: Recent Approaches to Global Optimization Problems through Particle Swarm Optimization. Natural Computing 1, 282–288 (2002)

    Article  MathSciNet  Google Scholar 

  4. Kamal, H.A., Eassa, M.H.: Solving Curve Fitting Problems Using Genetic Programming. In: Proc. 11th IEEE Mediterranean Conference on Electrotechnic, Cairo, Egypt, pp. 316–321 (2002)

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Author information

Authors and Affiliations

  1. School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Yu-Ying Li & Qiao-Yan Wen

  2. State Key Laboratory of Integrated Services Network, Xidian University, Xi’an, 710071, China

    Yu-Ying Li

  3. Information Security Center, Department of Information Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Li-Xiang Li & Yi-Xian Yang

Authors
  1. Yu-Ying Li
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  2. Li-Xiang Li
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  3. Qiao-Yan Wen
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  4. Yi-Xian Yang
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Editor information

Editors and Affiliations

  1. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  3. School of Electronic Engineering, Xidian Univ., P.O. Box, 710071, Xi’an, P.R. China

    Xinbo Gao

  4. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

  5. Multi-Agent Systems Lab,Department of Computer Science, University of Science and Technology of China, 230026, Hefei, China

    Feng Wu

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Li, YY., Li, LX., Wen, QY., Yang, YX. (2006). Data Fitting Via Chaotic Ant Swarm. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_23

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  • DOI: https://doi.org/10.1007/11881223_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45907-1

  • Online ISBN: 978-3-540-45909-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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