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Engineering design optimization using chaotic enhanced charged system search algorithms

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Abstract

The charged system search as a recently developed meta-heuristic algorithm has been successfully utilized for optimum design of different examples. In addition, the fields of forces model provides a means to enhance the algorithm, and this results in the enhanced charged system search (ECSS). This paper utilizes positive features of the chaos in the ECSS algorithm to optimize engineering design problems. Simulation results and comparisons based on various well-known mechanical and engineering design problems show the efficiency of the present algorithm.

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References

  1. Adrangi B., Chatrath A., Dhanda K., Raffiee K.: Chaos in oil prices? Evidence from futures markets. Energy Econ. 23, 405–425 (2001)

    Article  Google Scholar 

  2. Tavazoei M., Haeri M.: Comparison of different one-dimensional maps as chaotic search pattern in chaos optimization algorithms. J. Appl. Math. Comput. 187, 1076–1085 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  3. Coelho L., Mariani V.: Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization. Expert Syst. Appl. 34, 1905–1913 (2008)

    Article  Google Scholar 

  4. Kaveh A., Talatahari S.: A novel heuristic optimization method: charged system search. Acta Mech. 213(3–4), 267–289 (2010a)

    Article  MATH  Google Scholar 

  5. Kaveh A., Talatahari S.: Optimal design of skeletal structures via the charged system search algorithm. Struct. Multidiscip. Optim. 41(6), 893–911 (2010b)

    Article  Google Scholar 

  6. Kaveh A., Talatahari S.: Geometry and topology optimization of geodesic domes using charged system search. Struct. Multidiscip. Optim. 43(2), 215–229 (2011)

    Article  Google Scholar 

  7. Kaveh A., Talatahari S.: A general model for meta-heuristic algorithms using the concept of fields of forces. Acta Mech. 221, 99–118 (2011)

    Article  MATH  Google Scholar 

  8. Kaveh A., Talatahari S.: An enhanced charged system search for configuration optimization using the concept of fields of forces. Struct. Multidiscip. Optim. 43(3), 339–351 (2011)

    Article  Google Scholar 

  9. Ott E.: Chaos in Dynamical Systems. Cambridge University Press, Cambridge (2002)

    Book  MATH  Google Scholar 

  10. Vanderplaats G.N.: Design Optimization Tools (DOT) Users Manual, Version 4.20. VR&D, Colorado (1995)

    Google Scholar 

  11. Amir H.M., Hasegawa T.: Nonlinear mixed-discrete structural optimization. J. Struct. Eng. 115(3), 626–645 (1989)

    Article  Google Scholar 

  12. Rao R.V., Savsani V.J., Vakharia D.P.: Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput. Aided Des. 43, 303–315 (2011)

    Article  Google Scholar 

  13. Gu L., Yang R.J., Cho C.H., Makowski M., Faruque M., Li Y.: Optimization and robustness for crashworthiness of side impact. Int. J. Veh. Des. 26(4), 348–360 (2001)

    Article  Google Scholar 

  14. Kaveh A., Talatahari S.: Imperialist competitive algorithm for engineering design problems. Asian J. Civil Eng. 11(6), 675–697 (2010)

    MATH  Google Scholar 

  15. Hernandez Aguirre, A., Muñoz Zavala, A.E., Villa Diharce, E., Botello Rionda, S.: COPSO: Constrained Optimization via PSO Algorithm. Technical report no. I-07-04/22-02-2007, Center for Research in Mathematics (CIMAT), Mexico (2007)

  16. Cagnina L.C., Esquivel S.C., Coello C.A.C.: Solving engineering optimization problems with the simple constrained particle swarm optimizer. Informatica 32, 319–326 (2008)

    MATH  Google Scholar 

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Authors and Affiliations

  1. Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran

    S. Talatahari

  2. Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, Narmak, Tehran-16, Iran

    A. Kaveh

  3. Department of Civil Engineering, University of Tabriz, Tabriz, Iran

    R. Sheikholeslami

Authors
  1. S. Talatahari
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  2. A. Kaveh
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  3. R. Sheikholeslami
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Correspondence to A. Kaveh.

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Talatahari, S., Kaveh, A. & Sheikholeslami, R. Engineering design optimization using chaotic enhanced charged system search algorithms. Acta Mech 223, 2269–2285 (2012). https://doi.org/10.1007/s00707-012-0704-2

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  • DOI: https://doi.org/10.1007/s00707-012-0704-2

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