2014•Procedia Materials ScienceOpen access

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

Argha Das, Arindam Majumder, Pankaj Kr. Das

Abstract

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.

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Key concepts: Grey relational analysis, Taguchi methods, Particle swarm optimization, Process (computing), Population, Mathematical optimization, Materials science, Computer science