A problem expanding parametric programming method for solving the job shop scheduling problem
โ Scribed by G. L. Thompson; D. J. Zawack
- Book ID
- 112669085
- Publisher
- Springer US
- Year
- 1985
- Tongue
- English
- Weight
- 960 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0254-5330
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## a b s t r a c t The job shop scheduling problem (JSP) is well known as one of the most complicated combinatorial optimization problems, and it is a NP-hard problem. Memetic algorithm (MA) which combines the global search and local search is a hybrid evolutionary algorithm. In this paper, an eff
This paper describes the development of mixed binary integer programming (BIP) formulations for the reentrant job shop scheduling problem. Based on an earlier classical job shop model developed by Manne and improved by Liao and You, this paper presents two extended BIP optimization formulations for