Evaluation of Particle Swarm Optimization Factors Using Gray Situation Decision-Making Model
Po-Yuan Hsu, Yi-Lung Yeh · 2015
This study investigates three factors of the acceleration equation, i.e., acceleration constants c 1 and c 2 and inertia weight w, which are then used as events in particle swarm optimization for parameter optimization in the para-tank model (PTM) during rainfall-runoff simulation.The values of 0.2, 0.5, and 0.8 are respectively used to create 27 groups of situation sets using the indices of the two decision-making objectives, root mean squared error and coefficient of efficiency, in order to analyze the systematic effectiveness.After comparing the comprehensive effect measures, an optimal decision is reached when the combined effectiveness was at the highest when c 1 = 0.2, c 2 = 0.8, and w = 0.2 and becomes the optimal parameter value for the PTM.