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

  • Irakli RODONAIA
  • Artioma MERABIANI
  • Vakhtang RODONAIA


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.