Niching methods extend genetic algorithms and permit the investigation of multiple optimal solutions in the search space. In this paper, we review and discuss various strategies of niching for optimization in electromagnetics. Traditional mathematical problems and an electromagnetic benchmark are solved using niching genetic algorithms to show their interest in real world optimization.
Publié le : 1998-09-05
Classification:
clearing,
crowding,
sharing,
genetic algorithms,
niching methods,
shape optimization,
magnetizer,
[SPI.OTHER]Engineering Sciences [physics]/Other,
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation,
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC],
[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism
@article{hal-00140672,
author = {Sareni, Bruno and Kr\"ahenb\"uhl, Laurent and Nicolas, Alain},
title = {Niching genetic algorithms for optimization in electromagnetics - I. Fundamentals},
journal = {HAL},
volume = {1998},
number = {0},
year = {1998},
language = {en},
url = {http://dml.mathdoc.fr/item/hal-00140672}
}
Sareni, Bruno; Krähenbühl, Laurent; Nicolas, Alain. Niching genetic algorithms for optimization in electromagnetics - I. Fundamentals. HAL, Tome 1998 (1998) no. 0, . http://gdmltest.u-ga.fr/item/hal-00140672/