Barkha Saxena

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Genetic algorithms (GAs) are search heuristics used to solve global optimization problems in complex search spaces. We wish to show that the eeciency of GAs in solving a owshop problem can be improved signiÿcantly by tailoring the various GA operators to suit the structure of the problem. The owshop problem is one of scheduling jobs in an assembly line with(More)
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