The Particle Swarm Optimization Algorithm: How to Select the Number of Iteration
Bo Li, Xiao Ren-yue · 2007
The particle swarm optimization algorithm is an algorithm to find optimal regions of complex spaces through the interaction of individuals. The number of iterations required to meet a termination criterion is a critical dependent variable in the particle swarm optimization algorithm. In this paper, we analyze how to select the number of iteration. It can be seen as a guideline to the particle swarm optimization.