Application of Autonomic Component Ensembles Methods and Cloud Computing to MDVRPWTM Problem

Abstract

This study will examine an application of autonomic component ensembles methods
and cloud computing to MDVRPWTM Problem to optimize vehicle routing in a non-stationary
stochastic network. The goal of this article is to find a systematic approach to
implement it to the transportation systems integrated with real-time information technology.
Our adaptive algorithm based on the jDEECo concept will provide benefits to
logistics and supply chains in Georgia. With studies based on a road network in Georgia,
it is aimed to reduce vehicle usage while satisfying or improving service levels for
just-in-time delivery.