现代电子技术2017，Vol.40Issue(15)：108-111,4.DOI:10.16652/j.issn.1004-373x.2017.15.029
基于粒子群算法的移民新村空间优化模型
Particle swarm optimization algorithm based space optimization model of new immigration countryside
摘要
Abstract
Since the space optimization of new immigration countryside is a space optimization problem with the multi-objec-tive,multi-dimensional and multi-constraint conditions,therefore,a particle swarm optimization algorithm based space optimiza-tion model of the new immigration countryside was constructed. The space optimization scheme is put forward according to the principle of particle swarm algorithm. The biggest land resource area and expected land use age limit are used to represent the positioning data of the individual particle point and global particle point in the model,and set the model parameters. The block area of the land resource of the new immigration countryside is divided into seven blocks. The movement rate of the particle point is adjusted continuously to acquire the speed of the individual optimization and global optimization and the positioning data to compose the distribution rule,and construct the planning scheme of the virtual space according to the corresponding block area. The experimental results show that the optimization scheme has low cost,and high land utilization rate.关键词
粒子群算法/移民新村/空间优化/模型Key words
particle swarm optimization algorithm/new immigration countryside/space optimization/model分类
信息技术与安全科学引用本文复制引用
王爱风..基于粒子群算法的移民新村空间优化模型[J].现代电子技术,2017,40(15):108-111,4.基金项目
2015年度河南省重点科技攻关项目:移民新村空间优化策略研究——以南阳市为例(152102310026) （152102310026）
