Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal IJISTECH (International Journal Of Information System & Technology) IJISTECH
Rina Widyasari
Mathematics Study Program, Universitas Islam Negeri Sumatera Utara, Medan
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
The Determination of Shortest Path Using Genetics Algorithm Assisted Matlab Hendra Cipta; Rina Widyasari
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.64

Abstract

The problem is taking the shortest path for a road driver is an interesting thing. This paper explains how to find the shortest path using a genetic algorithm to achieve the best solution. Then it shows how to implement the genetic algorithm using the MATLAB program. For example, it is given a connected directed graph containing 20 vertices and 41 arcs where these vertices are assumed to be cities.
The Determination of Shortest Path Using Genetics Algorithm Assisted Matlab Hendra Cipta; Rina Widyasari
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (860.159 KB) | DOI: 10.30645/ijistech.v3i2.64

Abstract

The problem is taking the shortest path for a road driver is an interesting thing. This paper explains how to find the shortest path using a genetic algorithm to achieve the best solution. Then it shows how to implement the genetic algorithm using the MATLAB program. For example, it is given a connected directed graph containing 20 vertices and 41 arcs where these vertices are assumed to be cities.
Co-Authors Heni Pujiastuti