A preliminary application for
an optimized algorithm of the ant colony theory
Abstract
Optimization technology is a mathematical basis for solving various problems of optimization of the application of technology. With the rapid development of mathematical field of scientific research,the optimization has become a hot research issues. And because of the complexity of its algorithm and gradually increasing of the amount of computation, more and more innovative algorithms are constantly generated, the ant algorithm is one of the effective tools.This article stems from this viewpoint, introduced one kind of new optimized algorithm -ant group algorithm to come to study and the preliminary application. On this basis,we will use this method on the point of unemployment to do the initial application.We first introduced the definition 、principles 、and algorithms of the ant colony optimization in this article,there are written in detail about its principles and algorithms in the literature [4]，then we do a lot of comparative analysis, and lead to the search theory，at last we choose a most suitable method and use the example of the employment search in HangZhou to verify the analysis. In the research of its searching time and searthing cost of these two indicators ,we compared the two resuits and analyse the goods and bads .Finally we find that it has shorrten the time for a successful job search and reduced the search for lower costs by using this ant colony algorithm.And finally reflects the optimization of the results.
