Optimisation topologique de formes par algorithmes génétiques

Content Provider	Semantic Scholar
Author	Kane, Couro Schoenauer, Marc
Copyright Year	1997
Abstract	Structural topology optimization is addressed through Genetic Algorithms. A set of designs is evolved following the Darwinian survival-of-fittest principle. This approach demonstrates high flexibility, and breaks many limits of standard optimization algorithms, in spite of the heavy requirements in term of computational effort. Alternate optimal solutions to the same problem can be found. Structures can be optimized with respect to multiple loadings. The prescribed loadings can be applied on the unknown boundary of the solution, rather than on the fixed boundary of the design domain. Different materials as well as different mechanical models can be used, as witnessed by the first results of Topological Optimum Design ever obtained in the large displacements model. But these results could not have been obtained without careful specific handling of the specific aspects of topological genetic optimization. First, specific genetic operators were introduced. Second, special attention was paid to the design of the objective function. The nonlinear geometrical effects of the large displacement model lead to non viable solutions, unless some constraints are imposed on the stress field.
Starting Page	237
Ending Page	246
Page Count	10
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.eeaax.polytechnique.fr/papers/marc/sfm.ps.gz
Alternate Webpage(s)	http://www.lri.fr/~marc/EEAAX/papers/marc/sfm.ps.gz
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article