Particle swarm optimization based on model space theory and its application on transmission network planning
Yi-Xiong Jin, Juan Su · 2007
Abstract:- A model space and space compression theory is developed. The theory defined an N-1 security network as a model, and then defined a model space according a given model. Using this theory in Particle Swarm Optimization can prevent particles form searching in fund areas and improve their search efficiency. Put forth a model structure mutation method, which can make particles jump out of local optima. And compared the performance of basic PSO and model based PSO (MPSO). Numerical simulation results demonstrate this theory is correct and efficient.