The worst-case analysis of the Garey-Johnson algorithm
- Publication Type:
- Journal Article
- Journal of Scheduling, 2009, 12 (4), pp. 389 - 400
- Issue Date:
The Garey-Johnson algorithm is a well known polynomial-time algorithm constructing an optimal schedule for the maximum lateness problem with unit execution time tasks, two parallel identical processors, precedence constraints and release times. The paper is concerned with the worst-case analysis of a generalization of the Garey-Johnson algorithm to the case of arbitrary number of processors. In contrast to other algorithms for the maximum lateness problem, the tight performance guarantee for the even number of processors differs from the tight performance guarantee for the odd number of processors. © 2009 Springer Science+Business Media, LLC.
Please use this identifier to cite or link to this item: