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Improved Clonal Selection Algorithm Optimizing Neural Network for Solving Terminal Anti-missile Collaborative Intercepting Assistant Decision-Making Model

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Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2016, SCS AutumnSim 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 644))

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Abstract

Programming terminal high-low collaborative intercepting strategy scientifically and constructing assistant decision-making model with self-determination and intellectualization is one key problem to enhance operational efficiency. Assistant decision-making model has been constructed after analysis on collaborative intercepting principle; then Improved Clonal Selection Algorithm Optimizing Neural Network (ICLONALG-NN) is designed to solve the terminal anti-missile collaborative intercepting assistant decision-making model through introducing crossover operator to increase population diversity, introducing modified combination operator to make use of information before crossover and mutation, introducing population update operator into traditional CLONALG to optimize Neural Network parameters. Experimental simulation confirms the superiority and practicability of assistant decision-making model solved by ICLONALG-NN.

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Authors and Affiliations

  1. Air Force Engineering University, Xi’an, 710051, China

    Jin-ke Xiao, Wei-min Li & Cheng-zhong Lv

  2. South China University of Technology, Guangzhou, 510640, China

    Xin-rong Xiao

Authors
  1. Jin-ke Xiao
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  2. Wei-min Li
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  3. Xin-rong Xiao
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  4. Cheng-zhong Lv
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Corresponding author

Correspondence to Jin-ke Xiao .

Editor information

Editors and Affiliations

  1. Beihang University , Beijing, China

    Lin Zhang

  2. Beihang University , Beijing, China

    Xiao Song

  3. Beihang University , Beijing, China

    Yunjie Wu

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© 2016 Springer Science+Business Media Singapore

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Xiao, Jk., Li, Wm., Xiao, Xr., Lv, Cz. (2016). Improved Clonal Selection Algorithm Optimizing Neural Network for Solving Terminal Anti-missile Collaborative Intercepting Assistant Decision-Making Model. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-10-2666-9_22

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  • DOI: https://doi.org/10.1007/978-981-10-2666-9_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2665-2

  • Online ISBN: 978-981-10-2666-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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