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Seed Selection Genetic Programming and Its Implementation in Matlab

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Book cover Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 129))

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Abstract

Some defects of the Genetic Programming had been point out first in this paper. To overcome these defects, we proposed the “Seed Selection” genetic algorithm. And the algorithmis implemented in the environment ofMatlab. The numerical results show that the algorithm is effective and rapidly convergent. Furthermore, it can assure the evolution algorithm can’t run into local minimizer.

Project of Educational Reform supported by Education Bureau of Hunan Province, China ([2009]321.198).

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Author information

Authors and Affiliations

  1. School of Mathematics and Computational Science, Hunan University of Science and Technology, Xiangtan, Hunan, 411201, P.R. China

    Hou Jin-jun

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  1. Hou Jin-jun
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Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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Jin-jun, H. (2012). Seed Selection Genetic Programming and Its Implementation in Matlab. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25778-0_106

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  • DOI: https://doi.org/10.1007/978-3-642-25778-0_106

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25777-3

  • Online ISBN: 978-3-642-25778-0

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