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Island Model Parallel Genetic Algorithm for Optimization of Symmetric FRP Laminated Composites

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High Performance Computing - HiPC 2006 (HiPC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4297))

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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.

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References

  1. Lin, S.C., Punch, W.F., Goodman, E.D.: Coarse-grain parallel genetic algorithms: categorization and analysis. In: IEEE Symposium on Parallel and Distributed Processing, pp. 27–36 (1994)

    Google Scholar 

  2. Pettey, C.B., Leuze, M.R., Greffenstette, J.J.: A parallel genetic algorithm. In: Greffenstette, J.J. (ed.) Proceedings of the 2nd International Conference on Genetic Algorithms and their application (ICGA). Lawrence Erlbaum Associates Publishers, Mahwah (1987)

    Google Scholar 

  3. Bryce, B.: A Library for Island Model Parallel Genetic Algorithms, Report, CSCE, Department Pacific Lutheran University (2002)

    Google Scholar 

  4. Tanese, R.: Distributed genetic algorithms. In: Schaffer, J.D. (ed.) Proceedings of the 3rd International Conference on Genetic Algorithms and their application (ICGA), pp. 434–439. Morgan Kaufmann, San Mateo (1989)

    Google Scholar 

  5. Mühlenbein, H., Schomisch, M., Born, J.: The parallel genetic algorithm as function optimizer. In: Belew, R.-K., Booker, L.B. (eds.) Proceedings of the 4th International Conference on Genetic Algorithms and their application (ICGA), San Diego, CA, pp. 271–278 (1991)

    Google Scholar 

  6. Norman, M.G.: A genetic approach to topology optimization for multiprocessor architectures, Tech. Report ECSP-TR-7, Univ. of Edinburgh, Dept. of Physics (1998)

    Google Scholar 

  7. Rahul, C.D., Dutta, A.: Optimization of FRP composites against impact induced failure island model parallel genetic algorithm. Composites Science and Technology 65, 2003–2013 (2005)

    Article  Google Scholar 

  8. Sadagopan, D., Pitchumani, R.: Application of genetic algorithms to the optimal tailoring of composite materials. Composites Science and Technology 58, 571–589 (1998)

    Article  Google Scholar 

  9. Walker, M., Smith, R.: A technique for the multiobjective optimization of laminated composite structures using genetic algorithms and finite element analysis. Composite Structures 62, 123–128 (2003)

    Article  Google Scholar 

  10. Soremekun, G., Gurdal, Z., Haftka, R., Watson, L.: Composite laminate design optimization by genetic algorithm with generalized elitist selection. Computers and Structures 79, 131–143 (2001)

    Article  Google Scholar 

  11. Sivakumar, K., Iyengar, N., Deb, K.: Optimum design of laminated composite plates with cut-outs using a genetic algorithm. Composite Structures 42, 265–279 (1998)

    Article  Google Scholar 

  12. Qu, S., Venkataraman, S., Haftka, R.: Deterministic and reliability based optimization of composite laminates for cryogenic environments. In: AIAA 2000, pp. 2000–4760 (2000)

    Google Scholar 

  13. Deka, D., Sandeep, G., Chakraborty, D., Dutta, A.: Multi-objective Optimization of Laminated Composites using Finite Element Method and Genetic Algorithm. Journal of Reinforced Plastics and Composites 23(3), 273–286 (2005)

    Article  Google Scholar 

  14. Rahul, S.G., Chakraborty, D., Dutta, A.: Multi-objective optimization of hybrid laminates subjected to transverse impact. Composite Structures 73, 360–369 (2006)

    Article  Google Scholar 

  15. Wu Hsi-Yung, T., Chang, F.K.: Transient dynamic analysis of laminated composite plates subjected to transverse impact. Comput. Struct. 31(3), 453–466 (1989)

    Article  Google Scholar 

  16. Choi, H.Y., Wu His-Yung, T., Fu-Kuo, C.: A new approach towards understanding damage mechanism and mechanics of laminated composites due to low velocity impact: Part II – analysis. J. of Compo. Mat. 25, 1012–1038 (1991)

    Google Scholar 

  17. Choi, H.Y., Chang, F.K.: A model for predicting damage in Graphite/Epoxy laminated composite resulting from low velocity point impact. J. of Compo. Mat 26, 2134–2169 (1992)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Assam, 781039, India

    Rahul & D. Chakraborty

  2. Department of Civil Engineering, Indian Institute of Technology Guwahati, Assam, 781039, India

    A. Dutta

Authors
  1. Rahul
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  2. D. Chakraborty
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  3. A. Dutta
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Editor information

Editors and Affiliations

  1.  ,  

    Yves Robert

  2. Department of Electrical and Computer Engineering, Rutgers, the State University of New Jersey, 94 Brett Road, NJ 08854, Piscataway, USA

    Manish Parashar

  3. Hewlett-Packard ISO, Sy 192, Whitefield Road, Mahadevapura Post, 560048, Bangalore, India

    Ramamurthy Badrinath

  4. Department of Electrical Engineering, University of Southern California, 90089-2562, Los Angeles, CA, USA

    Viktor K. Prasanna

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© 2006 Springer-Verlag Berlin Heidelberg

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Rahul, Chakraborty, D., Dutta, A. (2006). Island Model Parallel Genetic Algorithm for Optimization of Symmetric FRP Laminated Composites. In: Robert, Y., Parashar, M., Badrinath, R., Prasanna, V.K. (eds) High Performance Computing - HiPC 2006. HiPC 2006. Lecture Notes in Computer Science, vol 4297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11945918_25

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  • DOI: https://doi.org/10.1007/11945918_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68039-0

  • Online ISBN: 978-3-540-68040-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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