Intelligent design of the automobile fixtures with genetic algorithms

International Journal of Innovative Computing, Information and Control

Volumn 4, Issue 10, 2008, Pages 2533-2550

  Liu, Tungkuan ^a   Chen, Chiu Hung ^a   Chou, Jyh Horng ^a  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

Automobile Fixtures; Genetic Algorithms; Interference free

Indexed keywords

EID: 63549128645     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (21)

1. A. J. C. Trappey and C. R. Liu, Automated fixture configuration using projective geometry approach, International Journal of Advanced Manufacturing Technology, vol. 8, pp. 297-304, 1993.
2. R. C. Brost and K. Y. Goldberg, A complete algorithm for designing planar fixtures using modular components, IEEE Trans. on Robotics and Automation, vol. 12, no. 1, pp. 31-46, 1996.
3. W. Hu and Y. Rong, A fast interference checking algorithm for automated fixture design verification, The International Journal of Advanced Manufacturing Technology, vol. 16, no. 8, pp. 571-581, 2000.
4. B. S. Babu, P. M. Valli, A. V. V. A. Kumar and D. N. Rao, Automatic modular fixture generation in computer-aided process planning systems, Proceeding of the I MECH E Part C: J. Mechanical Engineering Science, vol. 219, no. 10, pp. 1147-1152, 2005.
5. N. Kaya, Machining fixture locating and clamping position optimization using genetic algorithms, Computers in Industry, vol. 57, pp. 112-120, 2006.
6. H. Asada and A. B. By, Kinematics analysis of workpart fixturing for flexible assembly with automatically reconfigurable fixtures, IEEE Trans. Robotics and Automat, vol. 1, no. 2, pp. 86-93, 1985.
7. R. C. Brost and R. Peters, Automatic design of 3-d fixtures and assembly pallets, The International Journal of Robotics Research, vol. 17, no. 12, pp. 1243-1281, 1998.
8. N. H. Wu and K. C. Chan, A genetic algorithm based approach to optimal fixture configuration, Computers and Industrial Engineering, vol. 31, no. 3, pp. 919-924, 1996.
9. F. Mervyn, A. S. Kumar and A. Y. C. Nee, Automated synthesis of modular fixture design using an evolutionary search algorithm, International Journal of Production Research, vol. 43, no. 23, pp. 5047-5070, 2005.
10. S. Nakajima, H. Arimoto, H. Rensha and T. Toriu, Measurement of a translation and a rotation of a tooth after an orthodontic treatment using GA, International Journal of Innovative Computing, Information and Control, vol. 3, no. 6(A), pp. 1399-1406, 2007.
11. R. Ramli and H. Yamamoto, Tool path generation technique of NC lathe machines in FTL development by GA, International Journal of Innovative Computing, Information and Control, vol. 4, no. 3, pp. 489-500, 2008.
12. G. H. Martin, Kinematics and Dynamics of Machines, 2nd Edition, McGraw-Hill, Inc., 1994.
13. P. Schneider and D. H. Eberly, Geometric Tools for Computer Graphics, Morgan Kaufmann, 2002.
14. J. H. Holland, Adaptation in Natural and Artificial Systems, the University of Michigan Press, Michigan, 1975.
15. Y. W. Leung and Y. Wang, An orthogonal genetic algorithm with quantization for global numerical optimization, IEEE Transaction on Evolutionary Computation, vol. 5, no. 1, pp. 41-51, 2001.
16. J. T. Tsai, T. K. Liu and J. H. Chou, Hybrid taguchi genetic algorithm for global numerical optimization, IEEE Transaction on Evolutionary Computation, vol. 8, no. 4, pp. 365-377, 2004.
17. Y. Maeda and Q. Li, Parallel genetic algorithm with adaptive genetic parameters tuned by fuzzy reasoning, International Journal of Innovative Computing, Information and Control, vol. 1, no. 1, pp. 95-107, 2005.
18. K. W. Kim, M. Gen and M. H. Kim, Adaptive genetic algorithms for multi-resource constrained project scheduling problem with multiple modes, International Journal of Innovative Computing, Information and Control, vol. 2, no. 1, pp. 41-49, 2006.
19. G. Capi and M. Yokota, Optimal multi-criteria humanoid robot gait synthesis - An evolutionary approach, International Journal of Innovative Computing, Information and Control, vol. 2, no. 6, pp. 1249-1258, 2006.
20. Z. Michalewica, Genetic Algorithms + Data Structures = Evolution Programs, New York: AI Series Springer-Verlag, 1996.
21. J. E. Baker, Reducing bias and inefficiency in the selection algorithm, Proc. of the Second International Conference on Genetic Algorithms, pp. 14-21, 1987.