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改进型蚁群算法在矿井火灾定位系统中的应用
引用本文:国珍. 改进型蚁群算法在矿井火灾定位系统中的应用[J]. 煤矿安全, 2012, 43(8): 151-154
作者姓名:国珍
作者单位:青岛理工大学自动化工程学院,山东青岛,266520
摘    要:针对矿井安全需求的要求,为解决矿井火灾的预测的问题,采用改进的蚁群算法,引入相对效应系数,实现了矿井火灾的准确预报,提高了火灾预警的效率,对火灾点的预告准确度有了较大提高。

关 键 词:蚁群算法  算法改进  矿井安全  火灾预报

Application of Improved Ant Colony Algorithm in Mine Fire Location System
GUO Zhen. Application of Improved Ant Colony Algorithm in Mine Fire Location System[J]. Safety in Coal Mines, 2012, 43(8): 151-154
Authors:GUO Zhen
Affiliation:GUO Zhen(School of Automation Engineering,Qingdao Technological University,Qingdao 266520,China)
Abstract:In order to meet the demand of mine safety and solve the problem of mine fire prediction,through the introduction of relative effect coefficient,the accurate prediction of the mine fire is achieved by using improved ant colony algorithm,which improves the efficiency of the fire warning and greatly raises the prediction accuracy of the fire location.
Keywords:ant colony algorithm  algorithm improved  mine safety  fire location alar
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