AN IMPROVED RED-BLACK ANT COLONY SYSTEM ALGORITHM BASED ON TRAFFIC FOR SUPERMARKET DISTRIBUTION CENTER ROUTE PLANNING

Abstract

With the rapid growth of retailing during the modernization of Yangon, there is an increasing demand to improve the service quality of supermarkets. The supermarket shuttle service can have a direct impact on extending supermarket access, increasing shared transports, and improving customers' satisfaction. The routing software that helps supermarket delivery drivers to reach the customer's location/branch on time by providing the shortest route is the best one. Using machine learning methods not only provides efficient routes but also helps business owners to save time and fuel. The proposed system presented Route Planning mechanism using the improved Red-Black Ant Colony System Algorithm based on traffic information to apply supermarket delivery business. This system is implemented by using ASP.Net programming language on Microsoft Visual Studio 2013 IDE with Microsoft SQL Server 2008 R2 Database Engine.