Title :
A competitive co-evolutionary algorithm for constrained robust design
Author :
Min Li ; Guimarães, Frederico ; Lowther, David A.
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
fDate :
March 31 2014-April 1 2014
Abstract :
A competitive co-evolutionary algorithm is proposed to solve constrained robust design problems. The method uses three populations, among which one population evolves the values of the design variables and the other two evolves the values of two uncertainty variables, accounting for the target and feasibility robustness respectively. An application to the robust design (minimization of torque ripples) of an interior permanent magnet (IPM) machine is presented.
Keywords :
design engineering; genetic algorithms; permanent magnet machines; IPM machine; competitive coevolutionary algorithm; constrained robust design; design variables; genetic algorithm; interior permanent magnet machine; uncertainty variables; Co-Evolutionary Algorithm; Constrained Optimization; Genetic Algorithm; Robust Design;
Conference_Titel :
Computation in Electromagnetics (CEM 2014), 9th IET International Conference on
Conference_Location :
London
Electronic_ISBN :
978-1-84919-817-2
DOI :
10.1049/cp.2014.0230
