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An Improved Chaotic Optimization Algorithm Applied to a DC Electrical Motor Modeling

1
Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy
2
Master’s Program Systems and Control, Technische Universiteit Eindhoven, 5612 Eindhoven, The Netherlands
*
Author to whom correspondence should be addressed.
Entropy 2017, 19(12), 665; https://doi.org/10.3390/e19120665
Received: 1 October 2017 / Revised: 16 November 2017 / Accepted: 24 November 2017 / Published: 4 December 2017
(This article belongs to the Special Issue Probabilistic Methods for Inverse Problems)
The chaos-based optimization algorithm (COA) is a method to optimize possibly nonlinear complex functions of several variables by chaos search. The main innovation behind the chaos-based optimization algorithm is to generate chaotic trajectories by means of nonlinear, discrete-time dynamical systems to explore the search space while looking for the global minimum of a complex criterion function. The aim of the present research is to investigate the numerical properties of the COA, both on complex optimization test-functions from the literature and on a real-world problem, to contribute to the understanding of its global-search features. In addition, the present research suggests a refinement of the original COA algorithm to improve its optimization performances. In particular, the real-world optimization problem tackled within the paper is the estimation of six electro-mechanical parameters of a model of a direct-current (DC) electrical motor. A large number of test results prove that the algorithm achieves an excellent numerical precision at a little expense in the computational complexity, which appears as extremely limited, compared to the complexity of other benchmark optimization algorithms, namely, the genetic algorithm and the simulated annealing algorithm. View Full-Text
Keywords: chaotic systems; non-smooth optimization; global optimization; DC electrical motor modeling chaotic systems; non-smooth optimization; global optimization; DC electrical motor modeling
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Fiori, S.; Di Filippo, R. An Improved Chaotic Optimization Algorithm Applied to a DC Electrical Motor Modeling. Entropy 2017, 19, 665.

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