Based on Shape Annealing Algorithm Single Crystal Finite Element Analysis


Article Preview

A class of distributed algorithms for combinatorial optimization. In this paper we analyze some properties of shape annealing, the up to now best performing of the shape annealing algorithms we have tested. We report many results regarding its performance when varying the values of control parameters and we compare it with some FEM algorithms. And in accordance with treatment principles, the microstructure of the alloy is simulated. This algorithm uses orthogonal crossover to generate initial population and uses elitist-crossover to increase the good patterns of the population and uses hybrid mutation to increase the ability of local and global optimization. It has shown fascinating results when being used in the optimization of multimodal function. The results showed that: In the creep period, the corresponding cubic γ′ along the von Mises stress and strain energy density of the crystal face to form raft-like organizations.



Edited by:

Z.S. Liu, L.P. Xu, X.D. Liang, Z.H. Wang and H.M. Zhang




L. Meng, "Based on Shape Annealing Algorithm Single Crystal Finite Element Analysis", Advanced Materials Research, Vol. 1015, pp. 320-323, 2014

Online since:

August 2014





* - Corresponding Author

[1] Pollock T M, Argon A S. Acta Metall. Mater., 1994, 42(6), pp.1859-1874.

[2] G. Reddy and J. Cagan ASME, 1995, 117(2A), pp.315-321.