Flow-shop scheduling models with parameters represented by rough variables

Flow-shop scheduling models with parameters represented by rough variables

0.00 Avg rating0 Votes
Article ID: iaor20043108
Country: China
Volume: 8
Issue: 1
Start Page Number: 55
End Page Number: 59
Publication Date: Jan 2003
Journal: Tsinghua Science and Technology
Authors: ,
Keywords: fuzzy sets
Abstract:

In reality, processing times are often imprecise and this imprecision is critical for the scheduling procedure. This research deals with flow-shop scheduling in rough environment. In this type of scheduling problem, we employ the rough sets to represent the job parameters. The job processing times are assumed to be rough variables, and the problem is to minimize the makespan. Three novel types of rough scheduling models are presented. A rough simulation-based genetic algorithm is designed to solve these models and its effectiveness is well illustrated by numerical experiments.

Reviews

Required fields are marked *. Your email address will not be published.