基于蚁群算法的造林规划设计  

Afforestation Planning and Design Based on Ant Colony Optimization Algorithm

作　　者：胡宗庆[1] 

机构地区：[1]福建林业职业技术学院资源环境系,福建南平353001

出　　处：《北华大学学报（自然科学版）》2012年第4期463-468,共6页Journal of Beihua University（Natural Science）

基　　金：福建省自然科学基金项目(2011J05044)

摘　　要：造林规划设计是一个离散的约束优化问题.改写了造林规划设计问题目标函数的表达形式,并应用蚁群算法优化了造林设计方案.试验结果表明:蚁群算法用于优化造林规划设计方案是可行的;与模拟退火算法相比,效果更好.研究结果可为科学造林和最优化经营管理提供新的思路,丰富了林分经营过程的最优化控制技术及蚁群算法的应用领域.Afforestation planning and design concerns a discrete optimization.The expression form of objective function of afforestation planning and design was rewritten,and ant colony algorithm was applied to solve it.The experimental result shows that the ant colony algorithm is feasibly used to optimize afforestation planning design scheme.The scheme optimized by ant colony algorithm is better than it optimized by simulated annealing algorithm.The results can provide a new concept for scientific afforestation and the optimal management.It also riches optimization technology on forest management and the application field of ant colony algorithm.

关 键 词：蚁群算法 造林规划设计 约束优化 

分 类 号：S757.4[农业科学—森林经理学]