%0 Journal Article
%T Binary Ant Colony Evolutionary Algorithm<br>二进制蚁群进化算法
%A XIONG Wei-Qing
%A WEI Ping
%A <br>熊伟清
%A 魏平
%J 自动化学报
%D 2007
%I 
%X Every insect is considered, from the viewpoint of biological evolution, to be a neural cell that constitutes a neural network in a casual and loose way of joint. Through simulating the ant swarm intelligence on the basis of human neural network, this paper advances a linear binary network. The binary code expects a low intelligence of each ant, and each path corresponds to a comparatively small storage space, thus considerably improving the efficiency of computation. The test of function optimization and multi-dimensional 0/1 Knapsack proves that the computation has a good speed of convergence, a high stability and a perfect solution.
%K Swarm intelligence
%K simulated evolution computation
%K binary network
%K ant colony algorithm
%K genetic algorithm<br>群体智能
%K 模拟进化算法
%K 二元网络
%K 蚁群算法
%K 遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=6742567F4C839FA8&yid=A732AF04DDA03BB3&vid=27746BCEEE58E9DC&iid=38B194292C032A66&sid=0F7768518993EDDE&eid=7ABC4505E3960D2B&journal_id=0254-4156&journal_name=自动化学报&referenced_num=23&reference_num=8