๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Heuristics for scheduling unrelated parallel machines

โœ Scribed by A.M.A. Hariri; C.N. Potts


Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
961 KB
Volume
18
Category
Article
ISSN
0305-0548

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A local search heuristic for unrelated p
โœ N. Piersma; W. van Dijk ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 826 KB

The parallel mechine scheduling problem with unrelated machines is studied where the objective is to minimize the maximum makespan. In this paper, new local search algorithms are proposed where the neighborhood search of a solution uses the "efficiency" of the machinea for each job. It is shown that

Genetic algorithms for the job-shop sche
โœ Fatima Ghedjati ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 360 KB

In this paper, we are interested in job-shop scheduling problems with several unrelated parallel machines and precedence constraints between the operations of the jobs (with either linear or non-linear process routings). The objective is to minimize the maximum completion time (Cmax). We propose an

Scheduling under a common due-data on pa
โœ George I. Adamopoulos; Costas P. Pappis ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 486 KB

Due-date determination problems have gained significant attention in recent years due to the industrial focus in the just-in-time philosophy. In this paper the problem of scheduling a set of independent jobs on parallel unrelated processors under a common due-date is examined. The common due-date is

A min-sum 3/2-approximation algorithm fo
โœ Fabiรกn A. Chudak ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Springer US ๐ŸŒ English โš– 70 KB ๐Ÿ‘ 1 views

We consider the problem of minimizing the sum of weighted completion times of jobs scheduled on unrelated parallel machines. That is, there are n jobs and m machines; job j takes p GH units of time if processed on machine i and has a weight w H . If C H is the completion time of job j, the objective