A hybrid genetic algorithm for the early/tardy scheduling problem

• Type: Article in International Scientific Journal
• Date: 2006

Authors

Jorge M S Valente (Author) FEP; Jose Fernando Goncalves (Author) FEP; Rui A F S Alves (Author) FEP

Journal

Title: Asia-Pacific Journal of Operational Research

Vol. 23 No. 3

Pages: 393-405

ISSN: 0217-5959

Publisher: World Scientific

Indexing

ISI Web of Knowledge - 12 Citations

ISI Web of Science

Scopus - 18 Citations

Scientific classification

FOS: Engineering and technology > Industrial biotechnology

CORDIS: Social sciences > Economics > Management studies

Other information

Authenticus ID: P-004-HC2

DOI: 10.1142/s0217595906000978

Abstract (EN): In this paper, we present a hybrid genetic algorithm for a version of the early/tardy scheduling problem in which no unforced idle time may be inserted in a sequence. The chromosome representation of the problem is based on random keys. The genetic algorithm is used to establish the order in which the jobs are initially scheduled, and a local search procedure is subsequently applied to detect possible improvements. The approach is tested on a set of randomly generated problems and compared with existing efficient heuristic procedures based on dispatch rules and local search. The computational results show that this new approach, although requiring slightly longer computational times, is better than the previous algorithms in terms of solution quality.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13