Artificial Immune System analysis on Route Construction distribution of gas cylinders using the AINet Algorithm

Abstract

As a distributor of gas cylinders, the company will make every effort to distribute the products to customers effectively. In the distribution of gas cylinders, there are always problems in terms of saving distance and time in distribution. For this reason, an analysis is needed to optimize the distribution using the Artificial Immune System (AIS) method. The purpose of this research is to optimize the distance and time of distribution of gas cylinders by using the existing algorithm in AIS, namely the Artificial Immune Network Algorithm (aiNet). In this study, the distribution is limited specifically to the city of Cirebon. Furthermore, the AINet algorithm is analyzed for 20 distribution points using 3 vehicles. The results of the aiNet analysis show that the optimization within the distance is 1.28% and the time optimization is 0.37%. So using the Artificial Immune System with the AINet Algorithm, the distance and time can be optimized in the distribution of gas cylinders.