Article citationsMore>>

Colorni A,Dorigo M,M aniezzo V.An investigation of some properties of an ant algorithm.Proceedings Of Parallel Problem Solving from Nature(PPSN). France: Elsevier, 1992:509-520.

has been cited by the following article:

• TITLE: ACGA Algorithm of Solving Weapon - Target Assignment Problem

  AUTHORS: Jiuyong Zhang, Xiaojing Wang, Chuanqing Xu, Dehui Yuan

  KEYWORDS: Weapon -Target Assignment; ant colony algorithm; genetic algorithm; integration

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.2 No.4B, January 14, 2013

  ABSTRACT: Weapon Target Assignment is not only an important issue to use firepower, but also an important operational decision-making problem. As new intelligent algorithms, Genetic algorithm and ant colony algorithm are applied to solve Weapons-Target Assignment Problem. This paper introduces the Weapon-Target Assignment (WTA) and the mathematical model, and proposes ACGA algorithm which is the integration of genetic algorithm and ant colony algorithm then use ACGA algorithm to solve the Weapon-Target Assignment Problem. Calculations show that: when ACGA algorithm is used to solve Weapon – Target Assignment Problem, it has fast convergence and high accuracy.