Optimization of Plant Community Allocation in Urban Landscape Based on Hybrid Particle Swarm and Ant Colony Algorithm
The study introduced particle swarm algorithm and ant colony algorithm for searching the optimal configuration scheme based on analyzing the existing plant community layout forms,and fi-nally proposed a new plant population configuration model combining the two types of algorithms.The experimental results show that the model has the highest global score of 80,the community score of 85,and the weighted mean of 85.The shortest convergence time was 2.5 minutes and the maximum space utilization was 93.5％.In summary,the model proposed in the study can realize the optimization of plant community configuration and is expected to provide a new and more scientific plant configuration scheme for urban garden planning and landscape design.
万方数据
维普
