论文标题
通过有针对性的位置 - 突出的精英主义（PSO-TPME）快速收敛的粒子群群优化
A fast converging particle swarm optimization through targeted, position-mutated, elitism (PSO-TPME)
论文作者
论文摘要
我们通过靶向位置突出的精英（PSO-TPME）大大提高了粒子群优化（PSO）的收敛速度和全局勘探能力。这三个关键的创新介绍了认知和社会模型中的粒子分类，精英和突变。 PSO-TPME针对五个流行的PSO变体进行了基准测试，用于多维函数，这些函数在优化领域中广泛采用，特别是收敛的准确性，收敛速度和发现全局最小值的能力。统计误差通过许多重复评估。模拟表明，提出的PSO变体在收敛速率和数量级的准确性方面优于其他变体。
We dramatically improve convergence speed and global exploration capabilities of particle swarm optimization (PSO) through a targeted position-mutated elitism (PSO-TPME). The three key innovations address particle classification, elitism, and mutation in the cognitive and social model. PSO-TPME is benchmarked against five popular PSO variants for multi-dimensional functions, which are extensively adopted in the optimization field, In particular, the convergence accuracy, convergence speed, and the capability to find global minima is investigated. The statistical error is assessed by numerous repetitions. The simulations demonstrate that proposed PSO variant outperforms the other variants in terms of convergence rate and accuracy by orders of magnitude.
