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Reducing Energy Consumption in Smart Cities: A Scatter Search Based Approach

This article proposes a conceptual approach for reducing carbon emissions related to the context of smart cities. In fact, we focus on the possibility of using small driverless electric vehicles for moving jointly persons and goods in urban areas. Next, we propose a heuristic approach related to our context in order to minimize energy consumption within the context of smart cities. An optimization problem based to the operational level of decisions is formulated and a scatter search algorithm is implemented to solve the problem. Our results show the efficiency of the scatter search algorithm in order to minimize energy consumption in urban areas.