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                <identifier>oai:data.mendeley.com/g7nb7b9ys7.2</identifier>
                <datestamp>2022-01-13T18:23:26Z</datestamp>
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    <dc:creator>Takerhi, Matthew Efe</dc:creator>
    <dc:title>Application of genetic algorithm to a gas network for flow optimization</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This Contains codes for Flow optimization, where the flows of four pies are encoded as genes and a genetic algorithm Search s for the best flow combination that results in the least summation of the pressure drop for every loop in both compressors stations.
</dc:description>
    <dc:subject>Petroleum Engineering</dc:subject>
    <dc:subject>Natural Gas Engineering</dc:subject>
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    <dc:identifier>doi:10.17632/g7nb7b9ys7.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/g7nb7b9ys7.2</dc:identifier>
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    <dc:date>2022-01-13T18:23:26Z</dc:date>
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