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

Volume

7

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

3753

Lastpage

3757

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2010 Sixth International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5958-2

Type

conf

DOI

10.1109/ICNC.2010.5583099

Filename

5583099