@inproceedings{3aa2ad8f425a4ea2981574c2c006db19,
title = "A solving algorithm for target assignment optimization model based on ACO",
abstract = "An ant colony optimization (ACO) based algorithm is developed for the Target Assignment Problem (TAP) in Air Defense (AD) Command and Control (C2) System of Surface to Air Missile (SAM) tactical unit. The accomplishment process of Target Assignment (TA) task is analyzed. A firing advantage degree (FAD) concept of fire unit (FU) intercepting targets is put forward and its evaluation model is established by using linear weighted synthetic method. A TA optimization model is presented and its solving algorithms are designed based on ACO. The simulation examples show that the model and algorithms can meet the solving requirement of TAP in AD combat.",
keywords = "Air defense, Ant colony optimization algorithm, Command and control, Optimization, Target assignment",
author = "Jun Wang and Gao, {Xiao Guang} and Zhu, {Yong Wen} and Hong Wang",
year = "2010",
doi = "10.1109/ICNC.2010.5583099",
language = "英语",
isbn = "9781424459612",
series = "Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010",
pages = "3753--3757",
booktitle = "Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010",
note = "2010 6th International Conference on Natural Computation, ICNC'10 ; Conference date: 10-08-2010 Through 12-08-2010",
}