Titlebook: Computational Logistics; 10th International C Carlos Paternina-Arboleda,Stefan Voß Conference proceedings 2019 Springer Nature Switzerland

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Towards a Semantic Intelligence to Support Seaport Governance in Environmental and Ecological Sustaironmental and ecological factors are criteria that will enter into operational choices, capital investments, and cargo routing decisions. Environmental influences as well as factors of institutional governance (regulations and environmental management practices) may lead to common interests among th

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A MILP Model and a GRASP Algorithm for the Helicopter Routing Problem with Multi-Trips and Time Wind and time windows. The HRP consists of serving a set of transportation requests, defined as a pair of boarding and landing locations, where helicopters are used as transportation mode. This novel model incorporates the characteristics present in routing helicopters for offshore platforms and, also,

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Electric Bus Scheduling and Optimal Charginging aimed at optimizing the assignment of buses to line services of a public transport network, then the allocation of parking places to buses taking into account the typology of depots and finally the optimization of bus charging while complying with technical constraints. The model is based and te

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A Two-Pheromone Trail Ant Colony System Approach for the Heterogeneous Vehicle Routing Problem with sing a heterogeneous fleet of vehicles. Since the problem is NP-hard, the approach to achieve feasible solutions is an ant colony system with two-pheromone to minimize routing cost and vehicle fleet size. Experiments conducted using instances from the literature show that the proposed approach provi

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Martin J. Stevens,Jayadave Shakhersted on a concrete case study of a public transport company. The results show that optimization models can address the weaknesses of electric buses, namely limited range and long charging times, and thus provide public transport organizations with bus use strategies and bus charging policies.