Use of genetic algorithms in operations management. Part II - Results.
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.
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.
ISSN : 0954-4054
Research Group : Manufacturing Research