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Comparison of Direct Multiobjective Optimization Methods for the Design of Electric Vehicles

Roboam, Xavier and Régnier, Jérémi and Sareni, Bruno and Fefermann, Yan Comparison of Direct Multiobjective Optimization Methods for the Design of Electric Vehicles. (2006) European Power Electronics and Drives Journal, 16 (3). 1-18. ISSN 0939-8368

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Official URL: http://www.epe-association.org/epe

Abstract

"System design oriented methodologies" are discussed in this paper through the comparison of multiobjective optimization methods applied to heterogeneous devices in electrical engineering. Avoiding criteria function derivatives, direct optimization algorithms are used. In particular, deterministic geometric methods such as the Hooke & Jeeves heuristic approach are compared with stochastic evolutionary algorithms (Pareto genetic algorithms). Different issues relative to convergence rapidity and robustness on mixed (continuous/discrete), constrained and multiobjective problems are discussed. A typical electrical engineering heterogeneous and multidisciplinary system is considered as a case study: the motor drive of an electric vehicle. Some results emphasize the capacity of each approach to facilitate system analysis and particularly to display couplings between optimization parameters, constraints, objectives and the driving mission.

Item Type:Article
Additional Information:Thanks to EPE association. The original publication is available at http://www.epe-association.org/epe
HAL Id:hal-01179106
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
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Deposited On:20 Dec 2012 10:52

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