OPTIMIZATION OF LOGISTICS DISTRIBUTION ROUTES USING SA AND GA WITH DIFFERENT VEHICLE CAPACITIES

Capacitated vehicle routing problem (CVRP) is a variation of vehicle routing problem (VRP) that has capacity on the vehicle used. The method used to solve this CVRP problem is the meta-heuristic method. The meta-heuristic method used includes Simulated Annealing (SA) and Genetic Algorithm (GA). B...

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Main Author: Rino Pratama, Rizki
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/47365
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:47365
spelling id-itb.:473652020-04-09T12:29:00ZOPTIMIZATION OF LOGISTICS DISTRIBUTION ROUTES USING SA AND GA WITH DIFFERENT VEHICLE CAPACITIES Rino Pratama, Rizki Indonesia Theses VRP, CVRP, Optimization Routes, Simulated Annealing, Genetic Algorithm. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/47365 Capacitated vehicle routing problem (CVRP) is a variation of vehicle routing problem (VRP) that has capacity on the vehicle used. The method used to solve this CVRP problem is the meta-heuristic method. The meta-heuristic method used includes Simulated Annealing (SA) and Genetic Algorithm (GA). Based on this method, the best route optimization results in ten different cases. Then compare the results of the two methods used with the results of the Best Known Solution (BKS) data for the same case from the company. The results show that for the first, second and fourth cases, among others, 8 nodes with 3 vehicles, 10 nodes with 3 vehicles, and 14 nodes with 4 vehicles have the same results between the two methods used, but both methods have the best cost value. better than BKS data. While for the following cases, the SA method has a better cost value than the GA method, while the best cost value is better than the BKS data. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Capacitated vehicle routing problem (CVRP) is a variation of vehicle routing problem (VRP) that has capacity on the vehicle used. The method used to solve this CVRP problem is the meta-heuristic method. The meta-heuristic method used includes Simulated Annealing (SA) and Genetic Algorithm (GA). Based on this method, the best route optimization results in ten different cases. Then compare the results of the two methods used with the results of the Best Known Solution (BKS) data for the same case from the company. The results show that for the first, second and fourth cases, among others, 8 nodes with 3 vehicles, 10 nodes with 3 vehicles, and 14 nodes with 4 vehicles have the same results between the two methods used, but both methods have the best cost value. better than BKS data. While for the following cases, the SA method has a better cost value than the GA method, while the best cost value is better than the BKS data.
format Theses
author Rino Pratama, Rizki
spellingShingle Rino Pratama, Rizki
OPTIMIZATION OF LOGISTICS DISTRIBUTION ROUTES USING SA AND GA WITH DIFFERENT VEHICLE CAPACITIES
author_facet Rino Pratama, Rizki
author_sort Rino Pratama, Rizki
title OPTIMIZATION OF LOGISTICS DISTRIBUTION ROUTES USING SA AND GA WITH DIFFERENT VEHICLE CAPACITIES
title_short OPTIMIZATION OF LOGISTICS DISTRIBUTION ROUTES USING SA AND GA WITH DIFFERENT VEHICLE CAPACITIES
title_full OPTIMIZATION OF LOGISTICS DISTRIBUTION ROUTES USING SA AND GA WITH DIFFERENT VEHICLE CAPACITIES
title_fullStr OPTIMIZATION OF LOGISTICS DISTRIBUTION ROUTES USING SA AND GA WITH DIFFERENT VEHICLE CAPACITIES
title_full_unstemmed OPTIMIZATION OF LOGISTICS DISTRIBUTION ROUTES USING SA AND GA WITH DIFFERENT VEHICLE CAPACITIES
title_sort optimization of logistics distribution routes using sa and ga with different vehicle capacities
url https://digilib.itb.ac.id/gdl/view/47365
_version_ 1822927653620940800