计算机工程与应用2019，Vol.55Issue(18)：21-33,13.DOI:10.3778/j.issn.1002-8331.1906-0252
群智能算法在气体源定位中的应用综述
Survey of Application of Swarm Intelligence Algorithm in Gas Source Location
摘要
Abstract
In recent years, frequent gas leakage incidents make gas source location becoming an urgent problem in the field of public safety. Gas source location problem can be transformed into optimization problem in essence. As an effi-cient optimization algorithm, swarm intelligence algorithm provides a new solution for it. The research background and status quo of gas source location are introduced. The representative research results are classified, summarized and com-pared according to the research ideas and contents of swarm intelligence algorithm applied in gas source location. The exist-ing problems and future development trend of gas source location research based on swarm intelligence algorithm are ana-lyzed and discussed. The prospect will provide some reference for further research on gas source location.关键词
气体源定位/群智能算法/蚁群算法/粒子群算法Key words
gas source localization/swarm intelligence algorithm/ant colony algorithm/particle swarm algorithm分类
信息技术与安全科学引用本文复制引用
王巍,崔益豪,王彤,朱天宇,田立勤..群智能算法在气体源定位中的应用综述[J].计算机工程与应用,2019,55(18):21-33,13.基金项目
国家自然科学基金(No.61802107) （No.61802107）
河北省物联网数据采集与处理工程技术研究中心开放课题(No.2016-2) （No.2016-2）
江苏省博士后科研资助计划(No.1601085C) （No.1601085C）
邯郸市科学技术研究与发展计划(No.1625202042-1). （No.1625202042-1）
