摘要
近年来,森林传染病,尤其是由外来有害生物引起的如松林松材线虫等疾病对我国森林资源的危害日趋严重。如何对森林传染病的发展进行科学预测、实施有效控制的问题已经受到科学工作者们的普遍关注。介绍了蚁群算法的求解问题,分析了当前森林有害生物累计发生、重复发生、新发生及同种类新发生等不同类型的数据,从而提出基于蚁群算法的森林有害生物决策与预测。
In recent years, forest infectious diseases, especially caused by exotic pests such as pine, pine wood and other diseases have became more serious harm to China＇ s forest resources. How to make the scientific prediction of the development of the forest of infectious diseases, the implementation of effective control of the problem has been catholically concerned by scientific workers. The prediction of forest pest decision-making based on ant colony algorithm was introduced. The current forest pest cumulative, recurring, new and new onset of the same kind of different types of data were investigated and analyzed, and thus proposing the decision-making and prediction of forest pest researches based on ant colony algorithm.
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2012年第6期55-60,共6页
Journal of Central South University of Forestry & Technology
基金
山东省自然科学基金(ZR2011FL006)
关键词
森林有害生物
蚁群算法
决策
预测
forest pests
ant colony algorithm
decision-making
forecast
