Publication
Title
A genetic algorithm for robust schedules in a just-in-time environment
Author
Abstract
Computing a schedule for a single machine problem is often difficult for irregular criteria, but when the data are uncertain, the problem is much more complicated. In this paper, we modify a genetic algorithm to compute robust schedules when release dates are subject to small variations. Two types of robustness are distinguished: quality robustness or robustness in the objective function space and solution robustness or robustness in the solution space. We show that the modified genetic algorithm can find solutions that are robust with respect to both types of robustness. Moreover, the risk associatedwith a specific solution can be easily evaluated. The modified genetic algorithm is applied to a just-in-time scheduling problem, a common problem in many industries.
Language
English
Source (series)
Research paper / Faculty of Applied Economics UFSIA-RUCA ; 2003:8
Publication
Antwerpen : 2003
Volume/pages
24 p.
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Affiliation
Publications with a UAntwerp address
External links
Record
Identification
Creation 08.10.2008
Last edited 04.09.2013
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