首页|基于粒子蚁群算法的园林景观植物优化配置方法

基于粒子蚁群算法的园林景观植物优化配置方法

扫码查看
针对园林景观植物配置的多样性以及均衡度问题,提出以粒子蚁群算法为基础依据的园林景观植物优化配置方法.结合园林景观的实际需求以及环境资源评估进行园林景观整体框架的构建.同时建立关于配置时间以及配置成本的目标函数.通过粒子蚁群算法进行求解,粒子蚁群算法结合粒子群算法以及蚁群算法的优点,适用于相对复杂的园林景观植物优化配置问题.经过进一步的实验对比验证,基于粒子蚁群算法的园林景观植物优化配置方法在同样时间消耗的前提下,能够保证植物配置具有更好的多样性以及均匀度.
Optimal Allocation Method of Landscape Plants Based on Particle Ant Colony Algorithm
In order to solve the problem of diversity and equilibrium of landscape plant allocation,an optimal allocation method of landscape plants based on particle ant colony algorithm was proposed.Combined with the actual needs of the landscape and the assessment of environmental resources,the o-verall framework of the landscape is constructed.At the same time,an objective function is established about the configuration time and configuration cost.The particle ant colony algorithm is used to solve the problem,which combines the advantages of particle colony optimization algorithm and ant colony al-gorithm,and is suitable for relatively complex problems of optimal allocation of landscape plants.After further experimental comparison,the optimal allocation method of landscape plants based on particle ant colony optimization algorithm can ensure better diversity and uniformity of plant configuration under the premise of the same time consumption.

particle ant colony algorithmlandscapingplant configurationlandscape configura-tion requirementsdiversity and uniformity

吴颖

展开 >

安徽新华学院,安徽 合肥 230000

粒子蚁群算法 园林景观 植物配置 景观配置需求 多样性及均匀度

2024

佳木斯大学学报(自然科学版)
佳木斯大学

佳木斯大学学报(自然科学版)

影响因子:0.159
ISSN:1008-1402
年,卷(期):2024.42(9)