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Mathematical Problems in Engineering
Volume 2014, Article ID 479272, 13 pages
http://dx.doi.org/10.1155/2014/479272
Research Article

Multiobjective Game Method Based on Self-Adaptive Space Division of Design Variables and Its Application to Vehicle Suspension

School of Mechanical Engineering, Anhui University of Technology, Maanshan, Anhui 243002, China

Received 10 November 2013; Revised 30 April 2014; Accepted 8 May 2014; Published 15 June 2014

Academic Editor: Gongnan Xie

Copyright © 2014 Rui Meng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE Transactions on Evolutionary Computation, vol. 6, no. 2, pp. 182–197, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. V. J. Amuso and J. Enslin, “The strength pareto evolutionary algorithm 2 (SPEA2) applied to simultaneous multimission waveform design,” in Proceedings of the International Conference on Waveform Diversity and Design (WDD '07), pp. 407–417, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. D. Lee, L. F. Gonzalez, J. Periaux, K. Srinivas, and E. Onate, “Hybrid-game strategies for multi-objective design optimization in engineering,” Computers & Fluids, vol. 47, pp. 189–204, 2011. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  4. J.-H. Lee, R. W. Diersing, and C.-H. Won, “Satellite attitude control using statistical game theory,” in Proceedings of the American Control Conference (ACC '08), pp. 4856–4861, Seattle, Wash, USA, June 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. S. M. R. Rafiei, M. H. Kordi, G. Griva, and A. Tenconi, “Nash genetic algorithm based optimal design of hysteresis inverters for active power filtering applications,” in Proceedings of the IEEE Bucharest PowerTech Conference, pp. 1–6, Bucharest, Romania, July 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. J. Periaux, H. Q. Chen, B. Mantel, M. Sefrioui, and H. T. Sui, “Combining game theory and genetic algorithms with application to DDM-nozzle optimization problems,” Finite Elements in Analysis and Design, vol. 37, no. 5, pp. 417–429, 2001. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  7. J. F. Wang, Y. Z. Wu, and J. Périaux, “Decentralized multi-point optimization algorithms for multi-airfoil design in aerodynamics,” Journal of Astronautics, vol. 24, pp. 71–77, 2003. View at Google Scholar
  8. T. Zhili and D. Jun, “Couplings in multi-criterion aerodynamic optimization problems using adjoint methods and game strategies,” Chinese Journal of Aeronautics, vol. 22, no. 1, pp. 1–8, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. J.-A. Désidéri, “Cooperation and competition in multidisciplinary optimization: application to the aero-structural aircraft wing shape optimization,” Computational Optimization and Applications, vol. 52, no. 1, pp. 29–68, 2012. View at Publisher · View at Google Scholar · View at MathSciNet
  10. Y. Hu and S. S. Rao, “Game-theory approach for multi-objective optimal design of stationary flat-plate solar collectors,” Engineering Optimization, vol. 41, no. 11, pp. 1017–1035, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. N. Xie, Y. Cen, L. Sun, and L. Wang, “Multi-objective bionics design method based on mixed-behavior game,” Chinese Journal of Theoretical and Applied Mechanics, vol. 40, no. 2, pp. 229–237, 2008. View at Google Scholar · View at Scopus
  12. W. Lu, X. N. Gang, S. C. Zhi, B. J. Han, and C. Y. Wan, “Multi-objective bionics design method of passive suspension parameters based on hybrid behavior game,” Structural and Multidisciplinary Optimization, vol. 42, no. 3, pp. 371–386, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. C.-S. Lee, “Multi-objective game-theory models for conflict analysis in reservoir watershed management,” Chemosphere, vol. 87, no. 6, pp. 608–613, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. X. Li, L. Gao, and W. Li, “Application of game theory based hybrid algorithm for multi-objective integrated process planning and scheduling,” Expert Systems with Applications, vol. 39, no. 1, pp. 288–297, 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. K. K. Annamdas and S. S. Rao, “Multi-objective optimization of engineering systems using game theory and particle swarm optimization,” Engineering Optimization, vol. 41, no. 8, pp. 737–752, 2009. View at Publisher · View at Google Scholar · View at MathSciNet
  16. N. Xie, L. Sun, J. Bao, and H. Fang, “Multi-objective game design of arch dam shape,” Acta Mechanica Solida Sinica, vol. 27, pp. 200–206, 2007. View at Google Scholar · View at Scopus
  17. Y. Maali, “A multiobjective approach for solving cooperative n-person games,” International Journal of Electrical Power and Energy Systems, vol. 31, no. 10, pp. 608–610, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. J. R. J. Rao, K. Badhrinath, R. Pakala, and F. Mistree, “A study of optimal design under conflict using models of multi-player games,” Engineering Optimization, vol. 28, no. 1-2, pp. 63–94, 1997. View at Publisher · View at Google Scholar · View at Scopus
  19. N.-G. Xie, R. Meng, Y. Ye, L. Wang, and Y.-W. Cen, “Multi-objective design method based on evolution game and its application for suspension,” Structural and Multidisciplinary Optimization, vol. 47, no. 2, pp. 207–220, 2013. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  20. L. Chen and S. Li, “A computerized team approach for concurrent product and process design optimization,” Computer Aided Design, vol. 34, no. 1, pp. 57–69, 2002. View at Publisher · View at Google Scholar · View at Scopus
  21. J. A. Hartigan, Clustering Algorithms, John Wiley & Sons, New York, NY, USA, 1975. View at MathSciNet
  22. R. Guclu, “Fuzzy logic control of seat vibrations of a non-linear full vehicle model,” Nonlinear Dynamics, vol. 40, no. 1, pp. 21–34, 2005. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus