An Improved Cuckoo Search Algorithm for Target Assignment

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.