@inproceedings{c4eb77c0a4d94e3b9278f898df272ccf,
title = "Evolutionary method for nonlinear systems of equations",
abstract = "We propose a new perspective for solving systems of nonlinear equations by viewing them EIS a multiobjective optimization problem where every equation represents an objective function whose goal is to minimize the difference between the right- and left-hand side of the corresponding equation of the system. An evolutionary computation technique is suggested to solve the problem obtained by transforming the system into a multiobjective optimization problem. Results obtained are compared with some of the well-established techniques used for solving nonlinear equation systems.",
author = "Crina Grosan and Ajith Abraham and Alexander Gelbukh",
year = "2006",
doi = "10.1007/11925231_27",
language = "Ingl{\'e}s",
isbn = "3540490264",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "283--293",
booktitle = "MICAI 2006",
address = "Alemania",
note = "5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence ; Conference date: 13-11-2006 Through 17-11-2006",
}