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 e6ciency of GAs in solving a &owshop problem can be improved signi7cantly 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(More)
We have proposed a Modified Pure Radix Sort for Large Heterogeneous Data Set. In this research paper we discuss the problems of radix sort, brief study of previous works of radix sort & present new modified pure radix sort algorithm for large heterogeneous data set. We try to optimize all related problems of radix sort through this algorithm. This algorithm(More)
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