An efficient particle swarm optimization approach based on cultural algorithm applied to mechanical design

2006 IEEE Congress on Evolutionary Computation, CEC 2006

Volumn , Issue , 2006, Pages 1099-1104

  Dos Coelho, Leandro Santos ^a   Mariani, Viviana Coceo ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; GAUSSIAN DISTRIBUTION; POPULATION STATISTICS;

CULTURAL ALGORITHMS; DOMAIN KNOWLEDGE; METAPHOR; PARTICLE SWARM OPTIMIZATION;

GLOBAL OPTIMIZATION;

EID: 34547344267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (34)

1. E. Bonabeau, M. Dorigo, and G. Theraulaz, Swarm intelligence: from natural to artificial systems, Oxford University Press, NY, USA, 1999.
2. J. F. Kennedy, R. C. Eberhart and R. C. Shi, Swarm intelligence, Morgan Kaufmann Pub, San Francisco, USA, 2001.
3. Y. Shi and R. C. Eberhart, "Parameter selection in PSO optimization," Proc. 7th Annual Conf. Evolutionary Programming, San Diego, CA, USA, pp. 25-27, 1998.
4. K. Yasuda, A. Ide, and N. Iwasaki, "Adaptive particle swarm optimization," Proc. IEEE Int. Conference on Systems, Man and Cybernetics, Washington, DC, USA, vol. 2, pp. 1554-1559, 2003.
5. D. Devicharan and C. K. Mohan, "Particle swarm optimization with adaptive linkage learning," Proc. IEEE Congress on Evolutionary Computation, Portland, OR, USA, 530-535, 2004.
6. R. Mendes and J. F. Kennedy, "The fully informed particle swarm: simper, maybe better, " IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 204-210, 2004.
7. R. A. Krohling, F. Hoffmann, and L. S. Coelho, "Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution," Proc. Congress on Evolutionary Computation, Portland, USA, 959-964, 2004.
8. C. Wei, Z. He, Y. Zheng, and W. Pi, "Swarm directions embedded in fast evolutionary programming," Proc. IEEE Congress on Evolutionary Computation (CEC'2002), Honolulu, HI, USA, pp. 1278-1283, 2002.
9. B. R. Secrest and G. B. Lamont, "Visualizing particle swarm optimization - Gaussian particle swarm optimization," Proc. IEEE Swarm Intelligence Symposium, Indianapolis, IN, USA, pp. 198-204, 2003.
10. N. Higashi and H. Iba, "Particle swarm optimization with Gaussian mutation," Proc. IEEE Swarm Intelligence Symposium, Indianapolis, IN, USA, pp. 72-79, 2003.
11. A. Stacey, M. Jancic, and I. Grundy, "Particle swarm optimization with mutation," Proc. IEEE Congress on Evolutionary Computation (CEC'2003), Canberra, Australia, pp. 1425-1430, 2003.
12. L. S. Coelho and R. A. Krohling, "Predictive controller tuning using modified particle swarm optimization based on Cauchy and Gaussian distribution," Soft Computing: Methodologies and Applications, F. Hoffmann, M. Koppen, F. Klawonn, and R. Roy (editors). Springer-Verlag, UK, 2005.
13. R. G. Reynolds, "An introduction to cultural algorithms," Proc. 3rd Annual Conference on Evolutionary Programming, A. V. Sebald and L.J. Fogel (eds.), World Scientific, River Edge, NJ, USA, pp. 131-139, 1994.
14. E. Sandgren, "Nonlinear integer and discrete programming in mechanical design," Proc. ASME Design Technology Conference, Kissimine, FL, pp. 95-105, 1988.
15. J. F. Kennedy and R. C. Eberhart, "Particle swarm optimization," Proc. IEEE International Conference on Neural Networks, Perth, Australia, pp. 1942-1948, 1995.
16. R. C. Eberhart and J. F. Kennedy, "A new optimizer using particle swarm theory," Proc. of Int. Symposium on Micro Machine and Human Science, Japan, pp. 39-43, 1995.
17. A. Ratnaweera, S. K. Halgamuge, and H. C. Watson, "Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients," IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 240-255, 2004.
18. R. G. Reynolds and C. Chung, "A self-adaptive approach to representation shifts in cultural algorithms," Proc. IEEE Congress on Evolutionary Computation, Nagoya, Japan, pp. 94-99, 1996.
19. N. Rychtyckyj and R. G. Reynolds, "Using cultural algorithms to improve knowledge base maintainability," Genetic and Evolutionary Computation Conference (GECCO 2001), San Francisco, CA, USA, pp. 1405-1412, 2001.
20. R. G. Reynolds and S. Zhu, "Knowledge-based function optimization using fuzzy cultural algorithms with evolutionary programming," IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, vol. 31, no. 1, pp. 1-18, 2001.
21. R. Iacoban, R. G. Reynolds, and J. Brewster, "Cultural swarms: modelling the impact of culture on social interaction and problem solving," Proc. IEEE Swarm Intelligence Symposium, Indianapolis, IN, USA, pp. 205-211, 2003.
22. R. Iacoban, R. G. Reynolds, and J. Brewster, "Cultural swarms: assessing the impact of culture on social interaction and problem solving, Proc. IEEE Swarm Intelligence Symposium, Indianapolis, IN, USA, pp. 212-219, 2003.
23. X. Yao and Y. Liu, "Fast evolutionary programming," Proceedings of 5th Annual Conference on Evolutionary Programming, San Diego, CA, USA, pp. 451-460, 1996.
24. X. Jin and R. G. Reynolds, "Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problems: a cultural algorithm approach," Proc. IEEE Congress on Evolutionary Computation, Washington, DC, USA, pp. 1672-1678, 1999.
25. R. L. Becerra and C. A. C. Coello, "Culturizing differential evolution for constrained optimization," Proc. 5th Mexican International Conference in Computer Science, Colima, Mexico, 304-311, 2004.
26. K. E. Parsopoulos and M. N. Vrahatis, "Particle swarm optimization method for constrained optimization problems," P. Sincak, J. Vascak, V. Kvasnicka, and J. Pospicha (editors), Intelligent technologies -theory and applications: new trends in intelligent technologies, IOS Press, pp. 214-220, 2002.
27. G. T-. Pulido and C. A. C. Coello, "A constraint-handling mechanism for particle swarm optimization," Proc. IEEE Congress on Evolutionary Computation, Portland, Oregon, USA, vol. 2, pp. 1396-1403, 2004.
28. B. K. Kannan and S. N. Kramer, "An augmented Lagrange multiplier based method for mixed integer discrete continuous optimization and its applications to mechanical design," Journal of Mechanical Design, vol. 116, pp. 318-320, 1994.
29. S. Janson and M. Middendorf, "A hierarchical particle swarm optimizer and its adaptive variant," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 35, no. 6, pp. 1272-1282, 2005.
30. C. Zhang and H. P. Wang, "Mixed-discrete nonlinear optimization with simulated annealing," Engineering Optimization, vol. 17, no. 3, pp. 263-280, 1993.
31. Y. J. Cao and Q. H. Wu, "Mechanical design optimization," Proc. IEEE Congress on Evolutionary Computation, Indianapolis, IN, USA, pp. 443-446, 1997.
32. K. Deb, "GeneAS: a robust optimal design technique for mechanical component design," In D. Dasrupta and Z. Michalewicz (editors), Evolutionary algorithms in engineering applications, Springer-Verlag, Berlin, pp. 497-514, 1997.
33. C. A. C. Coello, "Use of a self-adaptive penalty approach for engineering optimization problem," Computers in Industry, vol. 4, no. 2, pp. 113-127, 2000.
34. X. Hu, R. C. Eberhart and Y. Shi, "Engineering optimization with particle swarm," Proc. IEEE Congress on Swarm Intelligence, Indianapolis, IN, USA, USA, 2003.