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Polygon Simplification Improved with Flower Pollination Algorithm (FPA)


Affiliations
1 Department of Computing, Universiti Teknologi Malaysia, Skudai – 81310, Johor, Malaysia
2 Department of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai – 81310, Johor, Malaysia
3 Department of Geoinformation and Real Estate, UniversitiTeknologi Malaysia, Skudai – 81310, Johor, Malaysia
 

This paper proposed new algorithm, FPA-simplification in order to improve computing time of simplification process. With the attempt to solve this problem, standard simplification algorithm is improved using Flower Pollination Algorithm (FPA). Results from the experiment shows FPA-simplification indeed improve the performance of simplification process in term of computing time from 61% to 75%.

Keywords

Cartographic Generalization, Flower Pollination Algorithm, Standard Simplification, Simplification.
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  • Polygon Simplification Improved with Flower Pollination Algorithm (FPA)

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Authors

Dhabitah Lazim
Department of Computing, Universiti Teknologi Malaysia, Skudai – 81310, Johor, Malaysia
Azlan Mohd Zain
Department of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai – 81310, Johor, Malaysia
Abdullah Hisham Omar
Department of Geoinformation and Real Estate, UniversitiTeknologi Malaysia, Skudai – 81310, Johor, Malaysia

Abstract


This paper proposed new algorithm, FPA-simplification in order to improve computing time of simplification process. With the attempt to solve this problem, standard simplification algorithm is improved using Flower Pollination Algorithm (FPA). Results from the experiment shows FPA-simplification indeed improve the performance of simplification process in term of computing time from 61% to 75%.

Keywords


Cartographic Generalization, Flower Pollination Algorithm, Standard Simplification, Simplification.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i48%2F140503