Roman Potarusov

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This article proposes an original approach to predict the electric vehicles (EVs)’ energy demand in a charge station using a regret minimization learning approach. The problem is modelled as a two players game involving: on the one hand the EV drivers, whose demand is unknown and, on the other hand, the service provider who owns the charge station and wants(More)
This paper presents an optimization of a conventional Adaptive Cruise Control system (ACC) for the specific use of electric vehicles with regenerative capacity, namely the Smart and Green ACC (SAGA). Longitudinal control strategies, that are developed for the driving assistances, mainly aim at optimizing the safety and the comfort of the vehicle occupants.(More)
This paper deals with the one-dimensional Bin Packing Problem (1-D BPP). Exact solution methods can only be used for very small instances, hence for real-world problems we have to focus on heuristic methods. In recent years, researchers have started to apply evolutionary approaches to this problem, including Genetic Algorithms and Evolutionary Programming.(More)
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