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Arabian Journal for Science and Engineering

, Volume 44, Issue 3, pp 2487–2496 | Cite as

Research on Intelligent Minefield Attack Decision Based on Adaptive Fireworks Algorithm

  • Ma YanEmail author
  • Zhao Handong
  • Zhang Wei
Open Access
Research Article - Systems Engineering
  • 285 Downloads

Abstract

The decision of intelligent minefield attacking tank forces is a complex multi-constraint and multi-objective nonlinear optimization problem. Aiming at the common defects of commonly used intelligent algorithms and combining with the characteristics of fireworks algorithm, this paper proposed an adaptive fireworks algorithm to deal with it. In this paper, we first established the mathematical model of this problem and transformed the model into an unconstrained single-objective extremum by using the external penalty function method. Furthermore, the adaptive fireworks algorithm is used to solve the model. In order to verify the superiority of adaptive fireworks algorithm to deal with this problem, experimental results show that the adaptive fireworks algorithm has faster convergence speed and shorter computation time than the other algorithms, and the results can intuitively describe the reasonable task allocation scheme of the complex situation, which provides a foundation for studying the force control.

Keywords

Intelligent minefield External penalty function method Fireworks algorithm Multi-constrained and multi-objective optimization 

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Copyright information

© The Author(s) 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.North University of ChinaTaiyuanChina
  2. 2.Naral Acadamy of ArmanentBeijingChina

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