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Enhancement of performance of Genetic Algorithm for job shop scheduling problems through inversion operator

โœ 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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A tutorial survey of job-shop scheduling
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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

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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