In this paper, an investigation of the behavior of a recently defined hybrid algorithm for continuous variables electromagnetic optimization problems is presented. This algorithm makes use of the nonlinear simplex method as a principal optimizator, and a greedy genetic algorithm to explore the search space. The algorithm is greatly affected by the tuning of some parameters. Referring to a solenoids system optimal design problem, a detailed comparison of performances obtained implementing a metaheuristic tuning is presented.

Performance improvement of an hybrid optimization algorithm for electromagnetic devices design” IEEE Trans. on Magnetic

FANNI, ALESSANDRA;MARCHESI, MICHELE;SERRI, ANTONINO;USAI, MARIANGELA
1999-01-01

Abstract

In this paper, an investigation of the behavior of a recently defined hybrid algorithm for continuous variables electromagnetic optimization problems is presented. This algorithm makes use of the nonlinear simplex method as a principal optimizator, and a greedy genetic algorithm to explore the search space. The algorithm is greatly affected by the tuning of some parameters. Referring to a solenoids system optimal design problem, a detailed comparison of performances obtained implementing a metaheuristic tuning is presented.
Optimization and design; stochastic and deterministic methods; genetic algorithms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/2198
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