In this paper a simulated annealing algorithm has been used to approach optimization problems in which the feasibility area contains more than one local minimum, devising then a strategy switching to a search algorithm for faster convergence in the final stage of the procedure. The combined algorithm is described, and has been successfully applied to some test cases for which results are presented and discussed. © 1992 IEEE

A Combined Strategy for Optimization in Non Linear Magnetic Problems Using Simulated Annealing and Search Techniques

NERVI, MARIO;
1992-01-01

Abstract

In this paper a simulated annealing algorithm has been used to approach optimization problems in which the feasibility area contains more than one local minimum, devising then a strategy switching to a search algorithm for faster convergence in the final stage of the procedure. The combined algorithm is described, and has been successfully applied to some test cases for which results are presented and discussed. © 1992 IEEE
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/853391
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