Population resizing on fitness improvement genetic algorithm to optimize promotion visit route based on android and google maps API
| Main Authors: | Listyorini, Tri, Muzid, Syafiul |
|---|---|
| Format: | Article PeerReviewed application/pdf |
| Bahasa: | eng |
| Terbitan: |
AIP Publishing
, 2017
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| Subjects: | |
| Online Access: |
http://eprints.umk.ac.id/10342/1/02%20population%20resizing%20on%20fitness%20improvement%20genetic%20algorithm.pdf http://eprints.umk.ac.id/10342/2/02%20Turnitin.pdf http://eprints.umk.ac.id/10342/ https://aip.scitation.org/toc/apc/1855/1?expanded=1855 |
Daftar Isi:
- The promotion team of Muria Kudus University (UMK) has done annual promotion visit to several senior high schools in Indonesia. The visits were done to numbers of schools in Kudus, Jepara, Demak, Rembang and Purwodadi. To simplify the visit, each visit round is limited to 15 (fifteen) schools. However, the team frequently faces some obstacles during the visit, particularly in determining the route that they should take toward the targeted school. It is due to the long distance or the difficult route to reach the targeted school that leads to elongated travel duration and inefficient fuel cost. To solve these problems, the development of a certain application using heuristic genetic algorithm method based on the dynamic of population size or Population Resizing on Fitness lmprovement Genetic Algorithm (PRoFIGA), was done. This android-based application was developed to make the visit easier and to determine a shorter route for the team, hence, the visiting period will be effective and efficient. The result of this research was an android-based application to determine the shortest route by combining heuristic method and Google Maps Application Programming lnterface (API) that display the route options for the team.