A NEW SIMULATED ANNEALING FOR SOLVING GEOMETRICAL SHAPE OPTIMIZATION OF A LINEAR ACTUATOR
Article Sidebar
Published
Mar 12, 2010
Download
Statistic
Main Article Content
Abstract
In this paper, a new adaptive simulated annealing algorithm for geometrical shape optimization of electromagnetic devices is proposed. The adaptive simulated annealing is very good at finding the correct area
of the solution under some hypotheses such as nonconvexity and non-differentiability and its generation function is excellent at refining a solution repeatedly to the nearest maximum or minimum solution. The ASA algorithm has been applied on the geometrical shape optimization of a
linear electromagnetic actuator. The non linear finite element method and the adaptive simulated annealing
algorithm have been used to maximize the magnetic force versus displacement. To have the quality of this new algorithm, the performances of ASA are compared with
other algorithm such as genetic algorithm (GA) in term of accuracy of the solution and computation time. The reached results suggest that the proposed algorithm ASA has
excellent effectiveness in finding best solution.
of the solution under some hypotheses such as nonconvexity and non-differentiability and its generation function is excellent at refining a solution repeatedly to the nearest maximum or minimum solution. The ASA algorithm has been applied on the geometrical shape optimization of a
linear electromagnetic actuator. The non linear finite element method and the adaptive simulated annealing
algorithm have been used to maximize the magnetic force versus displacement. To have the quality of this new algorithm, the performances of ASA are compared with
other algorithm such as genetic algorithm (GA) in term of accuracy of the solution and computation time. The reached results suggest that the proposed algorithm ASA has
excellent effectiveness in finding best solution.