A Derivative-Free Adaptively Controlled Random Search algorithm for bound constrained global optimization problems. Available in: Python; Fortran90; C; Matlab
Copyright (C) 2011 - G. Liuzzi, S. Lucidi
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Relevant PublicationsP. Brachetti, M. De Felice Ciccoli, G. Di Pillo, S. Lucidi, A New Version of the Price's Algorithm for Global Optimization, Journal of Global Optimization, 10(2): 165-184 (1997) DOI: 10.1023/A:1008250020656
L. Cirio, S. Lucidi, F. Parasiliti, M. Villani. A global optimization approach for the synchronous motors design by finite element analysis, International Journal of Applied Electromagnetics and Mechanics, 16(1): 13-27 (2002)
G. Liuzzi, S. Lucidi, F. Parasiliti, M. Villani, Multiobjective Optimization Techniques for the Design of Induction Motors, IEEE Transactions on Magnetics, 39(3): 1261-1264 (2003) DOI: 10.1109/TMAG.2003.810193