IMPLEMENTATION ANT COLONY BASIC ALGORITHM INSIDE AN OPTIMAL ROUTE SEARCHING

Santosa, Stefanus Riki (2016) IMPLEMENTATION ANT COLONY BASIC ALGORITHM INSIDE AN OPTIMAL ROUTE SEARCHING. Other thesis, Fakultas Ilmu Komputer UNIKA Soegijapranata Semarang.

[img] Text (COVER)
11.02.0004 Stefanus Riki Santosa COVER.pdf

Download (1MB)
[img] Text (BAB I)
11.02.0004 Stefanus Riki Santosa BAB I.pdf
Restricted to Registered users only

Download (109kB)
[img] Text (BAB II)
11.02.0004 Stefanus Riki Santosa BAB II.pdf
Restricted to Registered users only

Download (158kB)
[img] Text (BAB III)
11.02.0004 Stefanus Riki Santosa BAB III.pdf
Restricted to Registered users only

Download (118kB)
[img] Text (BAB IV)
11.02.0004 Stefanus Riki Santosa BAB IV.pdf
Restricted to Registered users only

Download (195kB)
[img] Text (BAB V)
11.02.0004 Stefanus Riki Santosa BAB V.pdf
Restricted to Registered users only

Download (579kB)
[img] Text (BAB VI)
11.02.0004 Stefanus Riki Santosa BAB VI.pdf
Restricted to Registered users only

Download (87kB)
[img] Text (DAFTAR PUSTAKA)
11.02.0004 Stefanus Riki Santosa DAFTAR PUSTAKA.pdf

Download (79kB)

Abstract

Searching for the route is an existed problem since long time ago. A lot of route selection and to determine the most optimal route are some example of the existed problems. Searching for the optimal route means to search or find the most ideal route composition or the closest one that is suitable with the existing rule. This project is about an optimal routing system which is compatible with Ant Colony Optimization Algorithm (ACO), this project uses a mobile (Android) based from Java program language. Ant Colony Algorithm is one of Optimization Algorithm. Ant Colony Optimization algorithm is an Algorithm which is adapted from ant's habits. Every walking ant will leave pheromones. If more ants pass through that track, the more pheromones will be contained at that road. Pheromones are used to be a trail for the other ants. The ants prefer a track which contains a lot of pheromones. Same with the habits of the ants, this program will generate the most optimum route based from the ant’s instinct.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Internet
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: Mr Ign. Setya Dwiana
Date Deposited: 31 May 2016 06:26
Last Modified: 25 Jan 2023 02:13
URI: http://repository.unika.ac.id/id/eprint/9707

Actions (login required)

View Item View Item