An Improved Cuckoo Search Algorithm for Target Assignment

DOI

10.2991/icmeit-17.2017.55How to use a DOI?

Keywords

WTA, cuckoo algorithm, adaptive mutation operator, adaptive communication operator.

Abstract

The purpose is to study an improved cuckoo search algorithms in target assignment via the analysis of the characteristics of air defense interception and the demand for weapon target assignment (WTA). As for the threat of multi-batches and saturating targets, the random coding method based on the minimum position rule is used to initialize the population. In addition, the results' accuracy and fast convergence are ensured by adding adaptive communication and mutation operator. The improved algorithm is then simulated and analyzed by the air defense target interception case, and the results indicate that the improved algorithm is effectiveness and superiority in solving the problem of WTA, compared to the standard cuckoo and immune algorithm. The current study indicate that the improved algorithm provides a kind of effective method for solving the problem of WTA.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yunzhi Zhang
AU  - Gang Wang
AU  - Xiaoyang Gao
AU  - Shengli Liu
AU  - Tianxiang Gao
PY  - 2017/05
DA  - 2017/05
TI  - An Improved Cuckoo Search Algorithm for Target Assignment
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 283
EP  - 288
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.55
DO  - 10.2991/icmeit-17.2017.55
ID  - Zhang2017/05
ER  -