Optimizing Process Parameters for Ceramic Tile Manufacturing Using an Evolutionary Approach

Authors:
Thitipong Navalertporn;Nitin V. Afzulpurkar
Affiliations:
Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand;Asian Institute of Technology, P.O. Box 4, Klong Luang, Pathumthani 12120, Thailand
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

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Abstract

In this paper, an integrated approach of neural network and bidirectional particle swarm is proposed. The neural network is used for obtaining the relationships between decision variables and the measures of interest while the bidirectional particle swarm is utilized to perform the optimization where multiple objectives and multiple constraints are presented. Finally, the proposed algorithm is applied to solve a process parameter design problem in ceramic tile manufacturing. The results showed that bidirectional particle swarm is an effective method for solving multi-objective optimization problems, and an integrated approach of neural networks and bidirectional particle swarm can be used in solving complex process parameter design problems.