Detection of Apposite PSO Parameters using Taguchi Based Grey Relational Analysis: Optimization and Implementation Aspects on Manufacturing Related Problem

摘要

In this study Taguchi based grey relational analysis is used to find out optimum process parameters for Particle Swarm Optimization. PSO-type, population size and C values are selected as process parameters for this analysis. The parameters obtained by the analysis can generate better result with in a preferable time. A supportive case study shows the effectiveness of the proposed approach.