Jurnal Serambi Engineering
Vol 1, No 1 (2016)

Analisis Perbandingan Metode Local Search dan Population Based Dalam Algoritma Berevolusi untuk Penyelesaian Travelling Salesman Problem (TSP)

Erdiwansyah Erdiwansyah (Teknik Informatika, Fakultas Teknik, Universitas Serambi Mekkah)



Article Info

Publish Date
25 Nov 2017

Abstract

Traveling  Salesman  Problem (TSP) is an optimization problems that can be applied to a variety of activities such as distribution of goods, making burning electricity bills and scheduling. TSP optimization problem in a very famous and has become the standard to try algorithm komputational. Local search algorithm is a method of finding a solution based on the neighborhood of the initial solution. This method is known as iterative improvement. While a search algorithm Based Population global with out considering the surrounding solution. Results showed local search algorithm is better than algorithm-based population in the search for optimal value. However, population-based superior in diversity.

Copyrights © 2016






Journal Info

Abbrev

jse

Publisher

Subject

Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Environmental Science

Description

Jurnal Serambi Engineering diterbitkan oleh Fakultas Teknik Universitas Serambi Mekkah Banda Aceh. Jurnal ini diterbitkan sebagai media untuk menyalurkan informasi hasil penelitian dibidang keteknikan baik yang dilakukan oleh para dosen dari Fakultas Teknik, khususnya dari Universitas Serambi Mekkah ...