PENCARIAN JALUR TERPENDEK MENGGUNAKAN METODE ANT COLONY BERBANTUAN JAVA
| Main Author: | Abdullah, Khamid |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2009
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/976/1/PENCARIAN_JALUR_TERPENDEK_MENGGUNAKAN_METODE_ANT_COLONY_BERBANTUAN_JAVA.pdf http://eprints.umm.ac.id/976/ |
Daftar Isi:
- In general, the shortest path search can be divided into two methods. the conventional method and heuristic methods. conventional methods tend to be more easily understood than the heuristic method, but when compared to the results obtained, heuristic methods more varied. heuristic methods there are several algorithms, one of which is the ant algorithm. Ant algorithm is the algorithm adopted from the behavior of ant colonies. ant colony naturally able to find the shortest route from the nest on their way to places where food sources. ant colony can find the shortest route between nest and food sources based on the path of footprints that have been passed. more and more ants passing through a trajectory, it will be more clearly ex- trail leg. ant algorithm is used to apply precisely in solving optimization problems, one of which is to determine the shortest path, with a starting point as menganalogikan ant nest and the destination point as ant food source. Ant algorithm is effective in determining the shortest path, because the calculation results obtained fairly accurate. however, more data are processed accuracy rate could decrease. than the number of cities, the parameter values also affect the accuracy of the results of a calculation