This work proposes a population evolution algorithm to deal with optimization problems based on the evolution characteristics of the Phasmatodea (stick insect) population, called the Phasmatodea population evolution algorithm (PPE). The PPE imitates the characteristics of convergent evolution, path dependence, population growth and competition in the evolution of the stick insect population in nature. The stick insect population tends to be the nearest dominant population in the evolution process, and the favorable evolution trend is more likely to be inherited by the next generation. This work combines population growth and competition models to achieve the above process. The implemented PPE has been tested and analyzed on 30 benchmark functions, and it has better performance than similar algorithms. This work uses several engineering optimization problems to test the algorithm and obtains good results.

这项工作提出了一种基于竹节虫（竹节虫）种群进化特征来处理优化问题的种群进化算法，称为竹节虫种群进化算法（PPE）。PPE模仿自然界竹节虫种群进化的趋同进化、路径依赖、种群增长和竞争等特点。竹节虫种群在进化过程中往往是最近的优势种群，有利的进化趋势更有可能被下一代继承。这项工作结合了人口增长和竞争模型来实现上述过程。实现的 PPE 已经在 30 个基准函数上进行了测试和分析，其性能优于同类算法。