Authors : Naamane Mohdeb and Mohammed Rachide Mekideche
Abstract: Simulated annealing algorithms are evolutionary processes that may well be applied to solve optimization problems under some hypotheses such as non-convexity and non-differentiability, etc. However, premature convergence is an intrinsic trait of such simulated annealing that makes them incompetent of searching best solution of the problem domain. In order to evade this problem, a new simulated annealing method for solving inverse electromagnetic problem is proposed. Adaptive simulated annealing is used as the new method in electrical engineering for solving the parameters identification problem. With the target as the metal under test, the calculation of the eddy current densities produced between the coil and the material is also detailed. Here the aim of the research explains the calculation procedure for the reactance and resistance of the eddy current sensor exited by voltage supply using a fast semi analytical method called coupled circuits method. Both the Coupled Electromagnetic Circuits Method (CECM) and the new approach (ASA) are used to estimate the electric conductivity and magnetic permeability of a circular material under test. To have the quality of this method, the performances of ASA are compared with other algorithm such as Genetic Algorithm (GA) in term of accuracy of the solution and computation time.
Naamane Mohdeb and Mohammed Rachide Mekideche, 2010. A New Simulated Annealing with Analytical Method for Identification of Unknown Ferromagnetic Parameters. Research Journal of Applied Sciences, 5: 65-72.