A genetic algorithm based approach to optimal fixture configuration

Computers and Industrial Engineering

Volumn 31, Issue 3-4, 1996, Pages 919-924

  Wu, N H ^a   Chan, K C ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Automated fixture design methodology; Fixture configuration optimisation; Fixturing verification system; Genetic Algorithms

Indexed keywords

AUTOMATED FIXTURE DESIGN METHODOLOGY; FIXTURE CONFIGURATION OPTIMISATION; FIXTURING VERIFICATION SYSTEM;

ENCODING (SYMBOLS); FIXTURES (TOOLING); HEURISTIC PROGRAMMING; OPTIMIZATION; RANDOM PROCESSES;

GENETIC ALGORITHMS;

EID: 0030383918     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0360-8352(96)00264-1     Document Type: Article

References (4)

1. King, L. S.-B., and Hutter, Ivan, "Theoretical Approach for Generating Optimal Fixturing Locations for Prismatic Workparts in Automated Assembly", Journal of Manufacturing Systems, Vol. 12, No. 5, pp. 409-416, 1993.
2. R. J. Menassa, and W. R. DeVries, "Optimisation Methods Applied to Selecting Support Positions in Fixture Design", Journal of Engineering for Industry,Transactions of ASME, Vol. 113 (Nov. 1991), pp. 412-418, 1991.
3. D. E. Goldberg. Genetic Algorithms in Search, Optimisation, and Machine Learning, Addison Wesley, 1989.
4. N. H. Wu, K. C. Chan and S. S. Leong, "A General Frictional Model For Fixturing Verification", Proceedings of the third International Conference on Computer Integrated Manufacturing, Singapore, 1995.