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Study Actuality of Immune Optimization Algoriithm and It’s Future Development

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 125))

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Abstract

In this paper, an optimization algorithm base immune principle is expatiated, explain its basic theory and process. And discuss immune algorithm’s advantage than other heuristic algorithms, such as: genetic algorithm and evolution strategy. And introduce several better algorithms base immune algorithm, present application in optimization problems. At last we propose immune algorithm’s further development in optimization problems’ application.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Changchun University of Science and Technology, Weixing Road 7089, Changchun, China

    Shi Weili, Bai Baoxing, Xu Honghua & Miao Yu

  2. Information Department, CNR Chuangchun Railway Vehicles Facilitycs Co., Ltd, Qingyin Road 435, Changchun, China

    Zhang Wenbo

Authors
  1. Shi Weili
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  2. Zhang Wenbo
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  3. Bai Baoxing
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  4. Xu Honghua
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  5. Miao Yu
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Corresponding author

Correspondence to Shi Weili .

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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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Weili, S., Wenbo, Z., Baoxing, B., Honghua, X., Yu, M. (2012). Study Actuality of Immune Optimization Algoriithm and It’s Future Development. 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 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_17

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  • DOI: https://doi.org/10.1007/978-3-642-25789-6_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25788-9

  • Online ISBN: 978-3-642-25789-6

  • eBook Packages: EngineeringEngineering (R0)

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