Effective meta-heuristics for scheduling on uniform machines with resource-dependent release dates

Document Type

Article

Publication Date

10-2-2015

Abstract

This paper considers a uniform machine scheduling problem in which the release date of a job can be compressed by additional resources. The objective is to minimise the total resource usage, subject to the constraint that the makespan does not exceed a given deadline. The problem is known to be strongly NP-hard. We define two types of job moves - the right move and the left move - and analyse their effect on the resource usage. We discuss the calculation of total resource usage for two types of neighbourhood generation methods - the insertion method and exchange method. A variable neighbourhood search algorithm and a simulated annealing algorithm are developed as heuristics. To evaluate the performance of the heuristics, we develop a lower bound by relaxing the original problem to an assignment problem, which can be solved in time. Finally, we generate a large number of random data, and test the performance and efficiency of the proposed heuristics. Our results indicate that the heuristics are reasonably efficient and perform very well compared with the lower bound.

Identifier

84938968700 (Scopus)

Publication Title

International Journal of Production Research

External Full Text Location

https://doi.org/10.1080/00207543.2015.1012303

e-ISSN

1366588X

ISSN

00207543

First Page

5857

Last Page

5872

Issue

19

Volume

53

This document is currently not available here.

Share

COinS