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.
出处
《水资源保护》
CAS
北大核心
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)
关键词
蚁群算法
优化
水土资源
应用
ant colony algorithm
optimization
water and soil resources
application
