A hybrid genetic algorithm for the single machine maximum lateness problem with release times and family
We consider the problem of scheduling a number of jobs, each job having a release time, a processing time, a due date and a family setup time, on a single machine with the objective of minimizing the maximum lateness. We develop a hybrid genetic algorithm and validate its performance on a newly developed diverse data set. We perform an extensive study of local search algorithms, based on the trade-off between the intensification and diversification strategies, taking the characteristics of the problem into account. We combine different local search neighborhoods in an intelligent manner to further improve the solution quality. We use the hybrid genetic algorithm to perform a comprehensive analysis of the influence of the different problem parameters on the maximum lateness value and the solution quality.
|Date of creation:||Apr 2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: ++ 32 (0) 9 264 34 61
Fax: ++ 32 (0) 9 264 35 92
Web page: http://www.ugent.be/eb
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:rug:rugwps:11/715. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nathalie Verhaeghe)
If references are entirely missing, you can add them using this form.