蚁群算法在水科学中的应用研究进展  

Progress on application of ant colony algorithm in water science

作　　者：杨娜[1] 付强[1] 李荣东[2] 

机构地区：[1]东北农业大学水利与建筑学院,黑龙江哈尔滨150030 [2]佳木斯市水利勘测设计研究院,黑龙江佳木斯154003

出　　处：《水资源保护》2007年第5期67-70,共4页Water Resources Protection

基　　金：国家"863"项目(2002AA2Z4251);国家自然科学基金(30400275);中国博士后科学基金(2004035167);黑龙江省青年基金(QC04C28)

摘　　要：蚁群算法是优化领域中相对较新的一种随机启发式搜索算法,通过模拟蚂蚁的觅食行为来解决复杂组合优化问题,是迄今为止昆虫算法中较为成功的例子。主要介绍了蚁群算法的生物原理及其算法的基本模型,对近些年来蚁群算法在水土资源新领域中的多种应用研究进行了分析与归纳,并指出了存在的问题及其研究展望。Ant colony algorithm（ACA） is a relatively new stochastic and meta-heuristic searching algorithm for optimization problems.By simulating ants＇ behavior of searching for food,the algorithm can solve complicated combinatorial optimization problems and is a successful paradigm of insects＇ algorithms at present.The biological theory and the basic model of ACA were presented.And the applications of ACA to water and soil resources field in recent years were analyzed and summarized.Finally existing problems and research directions of ACA in the future were proposed.

关 键 词：蚁群算法 优化 水土资源 应用 

分 类 号：TV213.4[水利工程—水文学及水资源]