Title :
A solving algorithm for Target Assignment optimization model based on ACO
Author :
Jun Wang ; Gao, Xiao-guang ; Zhu, Yong-wen ; Wang, Jun
Author_Institution :
Sch. of Electron. & Inf. Technol., Northwestern Polytech. Univ., Xi´´an, China
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 :
command and control systems; defence industry; missiles; optimisation; ACO; air defense command and control system; ant colony optimization; fire unit; firing advantage degree; linear weighted synthetic method; solving algorithm; surface to air missile tactical unit; target assignment optimization model; Algorithm design and analysis; Atmospheric modeling; Command and control systems; Decision making; Firing; Missiles; Optimization; air defense; ant colony optimization algorithm; command and control; optimization; target assignment;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583099
