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Insertion techniques for the heuristic solution of the job shop problem
- Source :
- Discrete Applied Mathematics. 58(2):191-211
- Publication Year :
- 1995
- Publisher :
- Elsevier BV, 1995.
-
Abstract
- In this paper we deal with the heuristic solution of the classical job shop problem. Both the constructive and the iterative phase of our algorithm apply insertion techniques combined with beam search. In the first phase we successively insert the operations into feasible partial schedules. In the iterative phase we generate paths in a particular neighbourhood graph instead of investigating the neighbourhood completely. To select “interesting” neighbours, we use the combinatorial path structure of feasible solutions of the job shop problem. The results of our algorithm are compared with those from other well-known methods on benchmark problems.
- Subjects :
- Mathematical optimization
Job shop scheduling
Neighbourhood heuristics
Job shop
Scheduling
Applied Mathematics
Insertion algorithm
Flow shop scheduling
Neighbourhood graph
Constructive
Scheduling (computing)
Beam search
Discrete Mathematics and Combinatorics
Path search
Algorithm
Neighbourhood (mathematics)
Job shop problem
Mathematics
Subjects
Details
- ISSN :
- 0166218X
- Volume :
- 58
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Discrete Applied Mathematics
- Accession number :
- edsair.doi.dedup.....0e7635647414d9233667e1afebbb9a3d
- Full Text :
- https://doi.org/10.1016/0166-218x(93)e0127-k