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   Optimal design of electric engineering systems using Pareto Genetic Algorithms 
 Author(s)   J. Régnier; B. Sareni; X. Roboam; S. Astier 
 Abstract   This paper presents a Pareto Genetic Algorithm for multiobjective optimisation in electrical engineering design. Through a simple electromechanical system, based on an inverter–permanent magnet motor–reducer–load association described by analytical models. We have chosen a rather simplified case study, to emphasise advantages of this approach for optimisation issues as well as a better understanding of system couplings. 
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 Type   Members Only 
 Date   Last modified 2004-01-27 by Unknown