Currently displaying 1 – 2 of 2

Showing per page

Order by Relevance | Title | Year of publication

Lower bounds for the scheduling problem with uncertain demands

Djamel BerkouneKhaled MesghouniBesoa Rabenasolo — 2006

International Journal of Applied Mathematics and Computer Science

This paper proposes various lower bounds to the makespan of the flexible job shop scheduling problem (FJSP). The FJSP is known in the literature as one of the most difficult combinatorial optimisation problems (NP-hard). We will use genetic algorithms for the optimisation of this type of problems. The list of the demands is divided in two sets: the actual demand, which is considered as certain (a list of jobs with known characteristics), and the predicted demand, which is a list of uncertain jobs....

Evolutionary algorithms for job-shop scheduling

Khaled MesghouniSlim HammadiPierre Borne — 2004

International Journal of Applied Mathematics and Computer Science

This paper explains how to use Evolutionary Algorithms (EA) to deal with a flexible job shop scheduling problem, especially minimizing the makespan. The Job-shop Scheduling Problem (JSP) is one of the most difficult problems, as it is classified as an NP-complete one (Carlier and Chretienne, 1988; Garey and Johnson, 1979). In many cases, the combination of goals and resources exponentially increases the search space, and thus the generation of consistently good scheduling is particularly difficult...

Page 1

Download Results (CSV)