This paper deals with the Electric Vehicle (EV) Scheduling and Optimal Charging Problem. More precisely, given a fleet of EVs Combustion Engine Vehicles (CVs), set tours to be processed by vehicles charging infrastructure, problem aims optimise assignment minimise cost while considering several operational constraints mainly related chargers, electricity grid driving range. We prove that Problem (EVSCP) is NP-hard in ordinary sense. provide mixed-integer linear programming formulation model...

Although there are few efficient algorithms in the literature for scientific workflow tasks allocation and scheduling heterogeneous resources such as those proposed grid computing context, they usually require a bounded number of computer that cannot be applied Cloud environment. Indeed, unlike grid, elastic computing, asAmazon's EC2, allows users to allocate release compute on-demand pay only what use. Therefore, it is reasonable assume infinite. This feature Clouds has been called...

n this paper, we consider the vehicle routing problem with mixed fleet of conventional and heterogenous electric vehicles time dependent charging costs, denoted VRP-HFCC, in which a set geographically scattered customers have to be served by composed Electric Vehicles (EVs), having different battery capacities operating Conventional (CVs). We include possibility EVs available stations during routes order serve all customers. Each station offers service known technology chargers costs....

This paper investigates the Electric Vehicle Charging Scheduling Problem (EVCSP) to maximize satisfied charging demands while optimizing resource utilization. Specifically, it addresses scenarios involving non-identical chargers with constant and variable output power, as well introducing a novel configuration featuring discrete levels. Enhanced mathematical models are formulated for power scenarios, extending existing formulations in literature, new model is introduced capture...

This paper deals with the two-Echelon Multi-products Location-Routing problem Pickup and Delivery (LRP-MPPD-2E). The LRP-MPPD-2E is a generalisation of classical LRP-2E. first-level routes consist set processing centers that must be served from one depot, second-level serve customers opened centers. second level include three constraints, multi-product, pickup delivery using center as intermediate facility. objective to minimize both location routing costs. In this study, we present two...

Abstract Ridesharing is a mobility concept in which trip shared by vehicle’s driver and one or more passengers called riders. considered as environmentally friendly alternative to single commutes pollution-creating vehicles on overcrowded streets. In this paper, we present the core of new strategy ridesharing system, making it flexible competitive than recurring system. More precisely, allow rider meet each other at an intermediate starting location separate another ending not necessarily...

Ridesharing concerns people that are willing to intelligently ride in order save money and protect environment. The idea is based on a better use of private car. More precisely, it aims bring together individuals share, even partially, trip. In the recurring ridesharing problem, when an offer matched with demand, driver picks-up rider at his starting location, drops him off ending location continues target location. This approach lacks flexibility misses some possible matchings. this paper,...

Resources allocation and scheduling has been recognised as an important topic for business process execution. However, despite the proven benefits of using Cloud to run process, users lack guidance choosing between multiple offering while taking into account several objectives which are often conflicting. Moreover, when running processes it is difficult automate all tasks. In this paper, we propose three complementary approaches computing platform. On other side, elastic computing, such...

Our study deals with the simultaneous Electric Vehicle Scheduling and Optimal Charging Problem (EVSCP) in business context. More precisely, given a mixed fleet of Vehicles - EVs Combustion Engine CVs, set tours to be processed by vehicles charging infrastructure, problem aims optimize assignment and, simultaneously, order avoid costly carbon-hungry peak demand periods. We consider several operational constraints mainly related chargers, electricity grid driving range. The overall objective...

The Cloud computing paradigm is adopted for its several advantages like reduction of cost incurred when using a set resources. However, despite the many proven benefits infrastructure to run business processes, it still faced with major problem that can compromise success: lack guidance choosing between multiple offerings. Moreover, running processes difficult automate all tasks and objectives often conflicting must be taken into account. For this, authors propose scheduling strategies in...

An extended variant of Location-Routing Problem namely LRP with Multi-Product and Pickup Delivery (LRPMPPD) is considered in this study. The proposed model deals simultaneously selecting (locating) one or more facilities from a set potential hub (locations), assigning customers to the selected hubs defining routes vehicles for serving multi-product demand such way that each must be visited once delivering, though they can many times picking up. We propose mixed integer linear programming...