Island model parallel genetic algorithm for optimization of symmetric FRP laminated composites

Authors:
Rahul;D. Chakraborty;A. Dutta
Affiliations:
Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Assam, India;Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Assam, India;Department of Civil Engineering, Indian Institute of Technology Guwahati, Assam, India
Venue:
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
Year:
2006

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Abstract

This paper presents an approach to optimal design of composite structures using Island Model Parallel Genetic Algorithm (IMPGA) with a probabilistic migration strategy and in conjunction with 3D Finite Element Method (FEM). The subject problem is computationally intensive and consumes large amount of computer space-time; an attempt has been made to spawn a variable number of processes at each node of IMPGA for FEM analysis. Comparison shows that integrated IMPGA-FEM module outperforms SGA-FEM module with respect to convergence as well as computational time significantly. The present study observes that the speed-up obtained from IMPGA-FEM module is better than the theoretical speed-up. It has also been observed that the incorporation of a probabilistic migration strategy in the IMPGA lead to a much faster and improved converged solution. Results show that for optimization with IMPGA there exists a minimum size of sub-population on each processor below which the performance deteriorates.