摘要
设计了应用于土地资源优化的人工蜂群算法,实现了将人工蜂群算法应用于土地资源优化问题;解决了ABC算法应用于多目标优化的两个难题:过早老化的问题和收敛速度慢的问题;以许昌市为例,进行多目标土地利用优化配置应用研究。研究结果表明:优化模型得到的土地利用格局、算法的适应度和收敛速度的均有明显提高。
To solve the problem of optimal allocation of land use, an artificial bee colony algorithm （ABC） which can be applied to optimal allocation of land resources is designed, and based on ABC algorithm an optimal allocation model of Land use is constructed. ABC algorithm is applied to solve two difficult problems of objective optimization： premature aging problem and slow convergence problem. And it is realized that the ABC algorithm is applied to solve prob- lems of land resource optimization. Taking Xuchang city as an example, this paper conducts application research of multi-objective optimal allocation of land use. The results show that the pattern of land use, the fitness of algorithm and the convergence rate are improved obviously based on the optimization model of land use provided by this paper.
出处
《成都信息工程学院学报》
2012年第6期589-593,共5页
Journal of Chengdu University of Information Technology
基金
2011年河南省自然科学研究基金资助项目(2011B520032)
关键词
人工蜂群算法
土地资源优化模型
收敛速度
过早老化
artificial bee colony algorithm（ABC）
land resource optimization
slow convergence problem
premature aging problem
