Improvements for multi‐objective optimizations ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
Improvements for multi‐objective optimizations using output space mapping technique
Author(s) :
Vivier, Stephane [Auteur]
93027|||Université de Technologie de Compiègne [UTC]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Lemoine, Didier [Auteur]
Université de Technologie de Compiègne [UTC]
Friedrich, Guy [Auteur]
Université de Technologie de Compiègne [UTC]
93027|||Université de Technologie de Compiègne [UTC]
Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Lemoine, Didier [Auteur]
Université de Technologie de Compiègne [UTC]
Friedrich, Guy [Auteur]
Université de Technologie de Compiègne [UTC]
Journal title :
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Volume number :
31
Pages :
827-841
Publisher :
Emerald
Publication date :
2012-05-04
ISSN :
0332-1649
English keyword(s) :
Electromagnetism
Actuators
Optimization techniques
Objectives
Multi-objective optimization
Optimization methods
Space-mapping technique
Actuators
Optimization techniques
Objectives
Multi-objective optimization
Optimization methods
Space-mapping technique
HAL domain(s) :
Sciences de l'ingénieur [physics]/Energie électrique
Sciences de l'ingénieur [physics]/Electromagnétisme
Mathématiques [math]/Optimisation et contrôle [math.OC]
Physique [physics]/Mécanique [physics]/Thermique [physics.class-ph]
Physique [physics]/Mécanique [physics]/Mécanique des matériaux [physics.class-ph]
Physique [physics]/Mécanique [physics]/Mécanique des fluides [physics.class-ph]
Sciences de l'ingénieur [physics]/Electromagnétisme
Mathématiques [math]/Optimisation et contrôle [math.OC]
Physique [physics]/Mécanique [physics]/Thermique [physics.class-ph]
Physique [physics]/Mécanique [physics]/Mécanique des matériaux [physics.class-ph]
Physique [physics]/Mécanique [physics]/Mécanique des fluides [physics.class-ph]
English abstract : [en]
Purpose
The purpose of this paper is to focus on the implementation and management of multi‐objective optimizations, with the help of heuristic algorithms such as space mapping methods.
Design/methodology/approach
The ...
Show more >Purpose The purpose of this paper is to focus on the implementation and management of multi‐objective optimizations, with the help of heuristic algorithms such as space mapping methods. Design/methodology/approach The authors consider the design of electromechanical actuators by the use of mathematical and computer means. Experiments are then virtual, because they correspond to numerical simulations. Dimensioning is then ensured by an optimization procedure of the space mapping type, whose main characteristic consists in using two models of the same size actuator (instead of a single one for classical optimization methods). Moreover, one considers here that multiple outputs are defined: this defines a multi‐objective optimization. This paper proposes several techniques making it possible to include the definition of multiple objectives to be fulfilled as part of an output space mapping optimization process. Findings The proposed approaches make it possible to stabilize and accelerate the convergence of multi‐objective optimizations performed by space mapping. This is illustrated by the example of the dimensioning of a resonant linear electromagnetic actuator. Originality/value The approach presented in the paper is original because it allows finding of a solution to the multi‐objective problem, without building any Pareto front, and most effectively by improving the convergent behavior of the optimization algorithm.Show less >
Show more >Purpose The purpose of this paper is to focus on the implementation and management of multi‐objective optimizations, with the help of heuristic algorithms such as space mapping methods. Design/methodology/approach The authors consider the design of electromechanical actuators by the use of mathematical and computer means. Experiments are then virtual, because they correspond to numerical simulations. Dimensioning is then ensured by an optimization procedure of the space mapping type, whose main characteristic consists in using two models of the same size actuator (instead of a single one for classical optimization methods). Moreover, one considers here that multiple outputs are defined: this defines a multi‐objective optimization. This paper proposes several techniques making it possible to include the definition of multiple objectives to be fulfilled as part of an output space mapping optimization process. Findings The proposed approaches make it possible to stabilize and accelerate the convergence of multi‐objective optimizations performed by space mapping. This is illustrated by the example of the dimensioning of a resonant linear electromagnetic actuator. Originality/value The approach presented in the paper is original because it allows finding of a solution to the multi‐objective problem, without building any Pareto front, and most effectively by improving the convergent behavior of the optimization algorithm.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Submission date :
2020-05-15T13:13:23Z
2022-03-02T10:45:44Z
2022-03-16T10:12:11Z
2022-03-02T10:45:44Z
2022-03-16T10:12:11Z