Parameter identification of a non-linear viscoelastic model for engineering polymers using a genetic algorithm

High Performance Structures and Materials

Volumn 6, Issue , 2004, Pages 3-12

  Seubkinorn, W ^a   Chaikittiratana, A ^a   Chaiyaratana, N ^a  

^a KING MONGKUT'S UNIVERSITY OF TECHNOLOGY NORTH BANGKOK   (Thailand)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA ACQUISITION; FREE ENERGY; GENETIC ALGORITHMS; HUMAN COMPUTER INTERACTION; MATHEMATICAL MODELS; STRAIN RATE; VISCOELASTICITY;

CREEP-RECOVERY; GLASSY POLYMERS; MULTI-OBJECTIVE DIVERSITY CONTROL ORIENTED GENETIC ALGORITHM (MODCGA); NON-LINEAR OPTIMIZATION TECHNIQUES;

POLYMERIC GLASS;

EID: 4544227813     PISSN: 14690071     EISSN: None     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (8)

1. A. Chaikittiratana and C. P. Buckley, Nonlinear viscoelastic deformation modelling for glassy engineering polymers, Proceedings of the JSME/ASME International Conference on Materials and Processing, Honolulu, HI (2002) 455-460.
2. P. J Dooling, C. P Buckley and S. Hinduja, The onset of nonlinear viscoelasticity in multiaxial creep of glassy polymers: A constitutive model and its application to PMMA, Polymer Engineering and Science, 38(6) (1998) 892-904.
3. C. M. Fonseca and P. J. Fleming, Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization, Genetic Algorithms: Proceedings of the 5th International Conference, Urbana-Champaign, IL (1993) 416-423.
4. H. Shimodaira, DCGA: A diversity control oriented genetic algorithm, The Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), Glasgow, UK (1997) 444-449.
5. C. M. Fonseca and P. J. Fleming, Multiobjective genetic algorithms made easy: Selection, sharing and mating restriction, The First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'95), Sheffield, UK (1995) 45-52.
6. C. M. Fonseca and P. J. Fleming, Multiobjective optimization and multiple constraint handling with evolutionary algorithms - Part 1: A unified formulation, IEEE Transactions on Systems, Man, and Cybernetics, 28(1) (1998) 26-37.
7. H. Shimodaira, A diversity-control-oriented genetic algorithm (DCGA): Performance in function optimization, The 2001 Congress on Evolutionary Computation (CEC'01), Seoul, Korea (2001) 44-51.
8. J. E. Baker, An analysis of the effects of selection in genetic algorithms, Ph.D. Dissertation, Department of Computer Science, Vanderbilt University, Nashville, TN (1989).