An Improved Cuckoo Search Algorithm for Target Assignment
Yunzhi Zhang, Gang Wang, Xiaoyang Gao, Shengli Liu, Tianxiang Gao
Available Online May 2017.
- https://doi.org/10.2991/icmeit-17.2017.55How to use a DOI?
- WTA, cuckoo algorithm, adaptive mutation operator, adaptive communication operator.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmeit-17.2017.55 DO - https://doi.org/10.2991/icmeit-17.2017.55 ID - Zhang2017/05 ER -