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Research paper related to genetic algorithm

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Metrics details. Data science allows the extraction of practical insights from large-scale data. Here, we contextualize it as an umbrella term, encompassing several disparate subdomains. Finally, we discuss how data value, privacy, and ownership are pressing issues for data science applications, in general, and are especially relevant to genomics, due to the persistent nature of DNA. Data science as a formal discipline is currently popular because of its tremendous commercial utility. Large companies have used several well-established computational and statistical techniques to mine high volumes of commercial and social data [ 1 ].

Genetic Algorithms

Research paper related to genetic algorithm
Research paper related to genetic algorithm
Research paper related to genetic algorithm

A review on genetic algorithm: past, present, and future

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A review on genetic algorithm: past, present, and future

As a result of the significant disruption that is being caused by the COVID pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time. Authors: Lindsay F. Rizzardi, Peter F.
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