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Haslinger, J. and Jedelsky, D. (1996) Genetic Algorithms and Fictitious Domain Based Approaches in Shape Optimization. Structural Optimization, 12, 267-264. https://doi.org/10.1007/BF01197366

has been cited by the following article:

• TITLE: The Technique of the Immersed Boundary Method: Application to Solving Shape Optimization Problem

  AUTHORS: Ling Rao, Hongquan Chen

  KEYWORDS: Immersed Boundary Method, Genetic Algorithm, Bezier Curve, Elliptic Dirichlet Boundary Value Problem, Shape Optimization Problem

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.5 No.2, February 15, 2017

  ABSTRACT: We present a numerical method based on genetic algorithm combined with a fictitious domain method for a shape optimization problem governed by an elliptic equation with Dirichlet boundary condition. The technique of the immersed boundary method is incorporated into the framework of the fictitious domain method for solving the state equations. Contrary to the conventional methods, our method does not make use of the finite element discretization with obstacle fitted meshes. It conduces to overcoming difficulties arising from re-meshing operations in the optimization process. The method can lead to a reduction in computational effort and is easily programmable. It is applied to a shape reconstruction problem in the airfoil design. Numerical experiments demonstrate the efficiency of the proposed approach.