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Erschienen in:
Model-Free Adaptive Iterative Learning Control Based on Data-Driven for Noncircular Turning Tool Feed System Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

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

verfasst von : Jin-ke Xiao, Wei-min Li, Xin-rong Xiao, Cheng-zhong Lv

Erschienen in: Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems

Verlag: Springer Singapore

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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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Vorheriges Kapitel Research on Image Stitching Algorithm for UAV Ground Station Terminal
Nächstes Kapitel Optimal Controller Design and Simulation Analysis of Inertially Stabilized Platform for Airborne Remote Sensing
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Metadaten
Titel
Improved Clonal Selection Algorithm Optimizing Neural Network for Solving Terminal Anti-missile Collaborative Intercepting Assistant Decision-Making Model
verfasst von
Jin-ke Xiao
Wei-min Li
Xin-rong Xiao
Cheng-zhong Lv
Copyright-Jahr
2016
Verlag
Springer Singapore
Buch
Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems

Print ISBN: 978-981-10-2665-2

Electronic ISBN: 978-981-10-2666-9

Copyright-Jahr: 2016

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

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