基于遗传算法和GIS的县域水田种植制度空间布局优化  

OPTIMIZATION OF SPATIAL DISTRIBUTION IN PADDY FIELD CROPPING SYSTEM BASED ON GIS AND GENE ALGORITHM IN THE SCALE OF COUNTY

作　　者：彭长青[1] 冯金飞[1] 卞新民[1] 

机构地区：[1]南京农业大学

出　　处：《长江流域资源与环境》2006年第1期66-70,共5页Resources and Environment in the Yangtze Basin

基　　金：国家863计划项目(2001AA245041);江苏省十五重点攻关项目(BE2001329);南通大学苏东所项目(03SD005);南通市青年学术带头人项目(Z3005)资助

摘　　要：采用种植模式对县级尺度的作物进行空间配置,能够较好地解决作物空间布局中熟制比例不当、茬口不适宜等问题。种植制度空间布局优化的目的在于通过合理配置种植模式的空间位置,以充分利用并保护当地的自然资源和社会资源。其本质是一种具有自然、社会、耕作制度等多方面影响因素及空间特征的组合优化问题。传统的优化算法解决具有空间特征的组合优化问题效率很低,或者难以解决该类问题。遗传算法是一种新的智能优化算法,通过模拟自然进化过程,利用简单的编码技术和遗传操作高效地解决复杂的组合优化问题。提出了一种以GIS为平台,遗传算法为优化模型的县域种植制度空间布局优化方法。Crop spatial distribution is an important aspect in cropping system reforming and development. Cropping system is used for the spacial configuration of crops＇ spatial distribution in scale of a county. It can deal with the problems such as the unsuitable proportion of cropping system and unfit stubbles better in the spatial distribution. The main purpose in optimizing the crops spatial distribution is to configure the spatial location of cropping system and make full use of the local natural resources as well as the social stocks, also to achieve the aim of protection of the resources. Cropping System Spatial Distribution Optimization is a spatial optimization problem which influenced by many factors such as nature, society and farming system. Traditional optimization algorithms are inefficient or hard to solve such problems. Gene Algorithm is an intelligent optimization algorithm, which solves complex combination and optimization problem by simulating the process of natural anagenesis and using simple code and gene operation. The authors put forward a method of cropping system spatial distribution optimization based on GIS and gene algorithm.

关 键 词：空间布局 种植制度 遗传算法 GIS 

分 类 号：S344[农业科学—作物栽培与耕作技术] TV213.4[农业科学—农艺学]