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针对植物模型不符合光照原理且不体现黄金分割特征的问题,提出了一种基于蚁群觅食原理的蚁群优化算法.首先对Open L-System模拟的植物枝叶分布进行分析;然后,采用设计的蚁群优化算法对虚拟植物枝叶在趋光性的竞争问题上进行优化;最后,结合植物的黄金分割特征实验仿真出植物模型.相比于没有采用优化仿真算法的Open L-System虚拟植物,植物模型枝叶的空间结构较为合理,趋光性生长更加旺盛.理论分析和仿真实验结果均表明,蚁群优化算法在单体植物模拟方面有一定的实际应用意义.
Aiming at the problem that the plant model does not accord with the light principle and does not reflect the characteristics of the golden section, an ant colony optimization algorithm based on ant colony foraging principle is proposed.Firstly, the distribution of plant leaves and leaves simulated by Open L-System is analyzed. Then, The ant colony optimization algorithm is used to optimize the competition of virtual plant foliage in terms of phototropism.Finally, the plant model is simulated experimentally based on the golden segmentation feature of plant.Compared with the Open L-System virtual plant that does not use the optimization simulation algorithm, The spatial structure of branches and leaves is more reasonable and phototrophic growth is more vigorous.Theoretical analysis and simulation results show that the ant colony optimization algorithm has some practical significance in the simulation of single plant.