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                <identifier>oai:data.mendeley.com/w2g452tpn7.1</identifier>
                <datestamp>2020-04-20T12:32:15Z</datestamp>
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    <dc:creator>Freitas, Heitor</dc:creator>
    <dc:title>Data for: Use of UAVs for an efficient capsule distribution in areas of any shape and with internal exclusion zones for biological pest control</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>All data and implementations for coverage problem used in &quot;Use of UAVs for an efficient capsule distribution in areas of any shape and with internal exclusion zones for biological pest control&quot;. The release points are used to path planning too.

Files:
 1. Polygons.py: generates the polygons;
 2. def4.py: calculates the Definition 4 for all areas;
 3. Graphs.py: plot graphs;
 4. main.py: do all the job;
 5. Metrics.py: contains definitions 1, 2 and 3;
 6. Solutions.py: contains Heitor&apos;s and Dongy&apos;s solutions for coverage problem;
 7. best_ind-120gen-200pop-600cup.pkl: individual generated by Genetic Algorithm;
 8. best_ind-120gen-200pop-800cup.pkl: individual generated by Genetic Algorithm;
 9. best_ind-120gen-400pop-600cup.pkl: individual generated by Genetic Algorithm;
 10. best_ind-120gen-400pop-800cup.pkl: individual generated by Genetic Algorithm;
 11. best_ind-120gen-800pop-600cup.pkl: individual generated by Genetic Algorithm;
 12. best_ind-120gen-800pop-800cup.pkl: individual generated by Genetic Algorithm.</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Biological Control</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/w2g452tpn7.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/w2g452tpn7.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2020-04-20T12:32:15Z</dc:date>
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