Enhancement of performance of Genetic Algorithm for job shop scheduling problems through inversion operator
โ Scribed by K. S. Amirthagadeswaran; V. P. Arunachalam
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 149 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0268-3768
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๐ SIMILAR VOLUMES
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 signiยฎcant number of researchers. A lot of literature has been published, but no ecient solution algorithm has been found yet f