To read this content please select one of the options below:

An improved technique for enhancing diversity in Pareto evolutionary optimization of electromagnetic devices

P. Di Barba (Department of Electrical Engineering, University of Pavia, Pavia, Italy)
M. Farina (Department of Electrical Engineering, University of Pavia, Pavia, Italy)
A. Savini (Department of Electrical Engineering, University of Pavia, Pavia, Italy)

Abstract

When a multiobjective optimization problem is tackled using Pareto optima theory, particular care has to be taken to obtain a full sampling of the Pareto Optimal Front. This leads to variability of individuals in both design space and objective space. We compare two different fitness assignment strategies based on two individual sharing procedures in the space domain and in the objective domain on some test cases.

Keywords

Citation

Di Barba, P., Farina, M. and Savini, A. (2001), "An improved technique for enhancing diversity in Pareto evolutionary optimization of electromagnetic devices", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 20 No. 2, pp. 482-496. https://doi.org/10.1108/03321640110383366

Publisher

:

MCB UP Ltd

Copyright © 2001, MCB UP Limited

Related articles