Integrating Evolutionary Computation with Neural Networks

E. Vonk; L.C. Jain; L.P.J. Veelenturf; R.A. Hibbs

doi:10.1109/ETD.1995.403480

Integrating Evolutionary Computation with Neural Networks

E. Vonk, L.C. Jain, L.P.J. Veelenturf, R.A. Hibbs

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

60 Downloads (Pure)

Abstract

There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables. This paper presents a brief review of evolutionary computing techniques. It also discusses briefly the hybridization of evolutionary computation and neural networks and presents a solution of a classical problem using neural computing and evolutionary computing techniques

Original language	Undefined
Title of host publication	Proceedings of the International Conference and Workshops ETD2000, Electronic Technology Directions to the year 2000
Place of Publication	Adelaide, Austealia
Publisher	IEEE
Pages	-
Number of pages	7
ISBN (Print)	9780818670855
DOIs	https://doi.org/10.1109/ETD.1995.403480
Publication status	Published - 23 May 1995

Publication series

Name
Publisher	IEEE

Keywords

METIS-113173
IR-16288

Access to Document

10.1109/ETD.1995.403480

00403480
open

Cite this

Vonk, E., Jain, L. C., Veelenturf, L. P. J., & Hibbs, R. A. (1995). Integrating Evolutionary Computation with Neural Networks. In Proceedings of the International Conference and Workshops ETD2000, Electronic Technology Directions to the year 2000 (pp. -). Adelaide, Austealia: IEEE. https://doi.org/10.1109/ETD.1995.403480

@inproceedings{ba01a5aade3b4785948f9585829de4fa,

title = "Integrating Evolutionary Computation with Neural Networks",

abstract = "There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables. This paper presents a brief review of evolutionary computing techniques. It also discusses briefly the hybridization of evolutionary computation and neural networks and presents a solution of a classical problem using neural computing and evolutionary computing techniques",

keywords = "METIS-113173, IR-16288",

author = "E. Vonk and L.C. Jain and L.P.J. Veelenturf and R.A. Hibbs",

year = "1995",

month = "5",

day = "23",

doi = "10.1109/ETD.1995.403480",

language = "Undefined",

isbn = "9780818670855",

publisher = "IEEE",

pages = "--",

booktitle = "Proceedings of the International Conference and Workshops ETD2000, Electronic Technology Directions to the year 2000",

address = "United States",

}

Integrating Evolutionary Computation with Neural Networks. / Vonk, E.; Jain, L.C.; Veelenturf, L.P.J.; Hibbs, R.A.

Proceedings of the International Conference and Workshops ETD2000, Electronic Technology Directions to the year 2000. Adelaide, Austealia : IEEE, 1995. p. -.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Integrating Evolutionary Computation with Neural Networks

AU - Vonk, E.

AU - Jain, L.C.

AU - Veelenturf, L.P.J.

AU - Hibbs, R.A.

PY - 1995/5/23

Y1 - 1995/5/23

N2 - There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables. This paper presents a brief review of evolutionary computing techniques. It also discusses briefly the hybridization of evolutionary computation and neural networks and presents a solution of a classical problem using neural computing and evolutionary computing techniques

AB - There is a tremendous interest in the development of the evolutionary computation techniques as they are well suited to deal with optimization of functions containing a large number of variables. This paper presents a brief review of evolutionary computing techniques. It also discusses briefly the hybridization of evolutionary computation and neural networks and presents a solution of a classical problem using neural computing and evolutionary computing techniques

KW - METIS-113173

KW - IR-16288

U2 - 10.1109/ETD.1995.403480

DO - 10.1109/ETD.1995.403480

M3 - Conference contribution

SN - 9780818670855

SP - -

BT - Proceedings of the International Conference and Workshops ETD2000, Electronic Technology Directions to the year 2000

PB - IEEE

CY - Adelaide, Austealia

ER -