Use of genetic algorithms in operations management. Part II - Results.

Date

2004-01-01

Advisors

Journal Title

Journal ISSN

ISSN

0954-4054
2041-2975

Volume Title

Publisher

Professional Engineering Publishing

Type

Article

Peer reviewed

Abstract

Description

The insight gained into the relationship between genetic algorithm (GA) structure and optimisation performance, through the research reported in this paper, provided the knowledge to integrate GAs with discrete event simulation which formed the output from IMI EPSRC Project GR/N05871 ‘Responsive Design and Operation of Flexible Machining Lines’ rated by EPSRC as “Tending to Internationally Leading” where industrial partners included Neil_R_Smith@unipart.co.uk, Unipart Group Ltd and Nigel.Shires@preactor.com, Preactor International. The author was Principal Investigator for the project.

Keywords

RAE 2008, UoA 28 Mechanical, Aeronautical and Manufacturing Engineering

Citation

Stockton, D.J., Quinn, L. and Khalil, R.A. (2004) Use of genetic algorithms in operations management. Part II - Results. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 218(3), pp. 329-343.

Rights

Research Institute