Adaptive Newton - like method for shape optimization
نویسنده
چکیده
Abstract: The aim of this work is to introduce an adaptive strategy to monitor the rate of convergence of a Newton-like method in numerical shape optimization. Such superlinear iterative algorithms are often computationally intensive and the rate of convergence depends on how accurate the numerical solution of the state equation is. The model concerns a cost function depending on the unknown domain Ω, and the solution of an integral equation.
منابع مشابه
Adaptive Method for Shape Optimization
1. Abstract The aim of this work is to introduce an adaptive strategy to monitor the rate of convergence of a Newtonlike method in shape optimization. Numerical solution of this problem involves numerical representation of the domain, optimization algorithms and numerical solution of the state equation, a partial differential equation. Newtons like algorithms are often computationally intensive...
متن کاملA Dynamic Parametrization Scheme for Shape Optimization Using Quasi-Newton Methods
A variable parametrization scheme is developed and demonstrated for shape optimization using quasi-Newton methods. The scheme performs adaptive parametrization refinement while preserving the approximate Hessian of the shape optimization problem and enables free-form shape design using quasi-Newton optimization methods. Using a Bspline parametrization, the scheme is validated using a 1-D shape ...
متن کاملAirfoil Shape Optimization with Adaptive Mutation Genetic Algorithm
An efficient method for scattering Genetic Algorithm (GA) individuals in the design space is proposed to accelerate airfoil shape optimization. The method used here is based on the variation of the mutation rate for each gene of the chromosomes by taking feedback from the current population. An adaptive method for airfoil shape parameterization is also applied and its impact on the optimum desi...
متن کاملA limited memory adaptive trust-region approach for large-scale unconstrained optimization
This study concerns with a trust-region-based method for solving unconstrained optimization problems. The approach takes the advantages of the compact limited memory BFGS updating formula together with an appropriate adaptive radius strategy. In our approach, the adaptive technique leads us to decrease the number of subproblems solving, while utilizing the structure of limited memory quasi-Newt...
متن کاملPath-following primal-dual interior-point methods for shape optimization of stationary flow problems
We consider shape optimization of Stokes flow in channels where the objective is to design the lateral walls of the channel in such a way that a desired velocity profile is achieved. This amounts to the solution of a PDE constrained optimization problem with the state equation given by the Stokes system and the design variables being the control points of a Bézier curve representation of the la...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008