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Evolutionary Granular Computing Model and Applications

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Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3612))

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Abstract

The evolutionary granular computing model (EGCM) combining evolutionary computing and granular computing techniques is introduced in this paper. The model presents a new approach to simulate the cognition of human beings that can be viewed as the evolutionary process through the automatic learning from data sets. The information granule, which is the building block of cognition in EGCM, can be synthesized and created by the basic operators. It also can form the granules network by linking each other among granules. With learning from database, the system can evolve under the pressure of selection. The EGCM creates a dynamic model that can adapt to the environment.

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References

  1. Bargiela, A.: Granular computing: an introduction (M). Kluwer Academic Publishers, Boston (2003)

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  2. Eiben, A.E.: Introduction to evolutionary computing. Springer, Heidelberg (2003)

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Author information

Authors and Affiliations

  1. School of economics and management, Beijing Jiaotong University, Mailbox 482, Beijing, 100044

    Jiang Zhang & Xuewei Li

Authors
  1. Jiang Zhang
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  2. Xuewei Li
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Editor information

Editors and Affiliations

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

    Lipo Wang

  2. School of Software, Sun Yat-Sen University, 510275, Guangzhou, China

    Ke Chen

  3. School of Computer Engineering, Nanyang Technological University, BLK N4, 2b-39, Nanyang Avenue, 639798, Singapore

    Yew Soon Ong

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhang, J., Li, X. (2005). Evolutionary Granular Computing Model and Applications. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_36

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  • DOI: https://doi.org/10.1007/11539902_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28320-1

  • Online ISBN: 978-3-540-31863-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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