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International Symposium on Neural Networks

ISNN 2005: Advances in Neural Networks – ISNN 2005 pp 800–804Cite as

Functional-Link Net Based Multiobjective Fuzzy Optimization

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3496))

Abstract

The principle of solving multiobjective optimization problems with fuzzy sets theory is studied. Membership function is the key to introduce the fuzzy sets theory to multiobjective optimization. However, it is difficult to determine membership functions in engineering applications. On the basis of rapid quadratic optimization in the learning of weights, simplification in hardware as well as in computational procedures of functional-link net, discrete membership functions are used as sample training data. When the network converges, the continuous membership functions implemented with the network. Membership functions based on functional-link net have been used in multiobjective optimization. An example is given to illustrate the method.

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References

  1. Bellman, R.E., Zadeh, L.A.: Decision Making in a Fuzzy Environment. Management Science 17, 141–162 (1970)

    Article  MathSciNet  Google Scholar 

  2. Jimenez, F., Cadenas, J.M., Verdegay, J.L., Sonchez, G.: Solving Fuzzy Optimization Problems by Evolutionary Algorithms. Information Sciences 152, 303–311 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  3. Pao, Y.H.: Adaptive Pattern Recognition and Neural Networks. Addison-Wesley, Reading (1988)

    Google Scholar 

  4. Pao, Y.H., Takefuji, Y.: Functional-link Net Computing: Theory. System Architecture, and Functionalities. Computer 25, 76–79 (1992)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Ping Wang

  2. School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Hongzhong Huang

  3. Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, T6G 2G8, Canada

    Ming J. Zuo

  4. Department of Mechanical Engineering, Heilongjiang Institute of Science and Technology, Harbin, 150027, China

    Weidong Wu & Chunsheng Liu

Authors
  1. Ping Wang
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  2. Hongzhong Huang
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  3. Ming J. Zuo
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  4. Weidong Wu
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  5. Chunsheng Liu
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiaofeng Liao

  3. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wang, P., Huang, H., Zuo, M.J., Wu, W., Liu, C. (2005). Functional-Link Net Based Multiobjective Fuzzy Optimization. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_128

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  • DOI: https://doi.org/10.1007/11427391_128

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25912-1

  • Online ISBN: 978-3-540-32065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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