A genetic algorithm for job shop scheduling — a case study
✍ Scribed by N.S.Hemant Kumar; G. Srinivasan
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 601 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0166-3615
No coin nor oath required. For personal study only.
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Job-shop scheduling problem is one of the well-known hardest combinatorial optimization problems. During the past decade, two important issues have been extensively studied. One is how to encode a solution into a chromosome so as to ensure that a chromosome will correspond to a feasible solution. Th
Job-shop scheduling problem is one of the well-known hardest combinatorial optimization problems. During the last three decades, this problem has captured the interest of a signi®cant number of researchers. A lot of literature has been published, but no ecient solution algorithm has been found yet f
The job shop scheduling problem is one of the most important and complicated problems in machine scheduling. This problem is characterized as NP-hard. The high complexity of the problem makes it hard to find the optimal solution within reasonable time in most cases. Hence searching for approximate s