Population Size Selection of Particle Swarm Optimizer Algorithm
粒子群优化算法种群规模的选择

This paper gives advice on population size selection from literatures and analyzes the relations between population size, dimension, precision and stability. It proposes a method of population size selection. Two benchmark functions are employed to perform function optimization with different dimensions: 20, 60, 100 and 200. For each dimension, population size is set to 20, 40, 60 and 80. This paper analyzes the results and proposes a general population size. Furthermore, an approach based on experiments is proposed for population size selection. With the approach, a relation graph of population size, time and precision can be used to determine the optimum population size.