A Vehicular Ad hoc Network (VANET) consists of vehicles which communicate with each other and exchange data via wireless communication links available between the vehicles which are in communication ranges of vehicles to improve the road safety in city. The communication between vehicles is used to provide road safety, comfort and entertainment. The performance of communication depends on how b...

In intelligent transportation systems, the cooperation between vehicles and the road side units is essential to bring these systems to fruition. Vehicular ad hoc networks (VANETs) are a promising technology to enable the communications among vehicles on one hand and between vehicles and road side units on the other hand. However, it is a challenging task to develop a reliable routing algorithm ...

Vehicular Ad hoc Network (VANET) is one type of Mobile Ad hoc Network (MANET). In VANETs, vehicles are connecting to computer networks. VANETs have dynamic nodes in the form of moving vehicles and static nodes in the form of Road Side Units (RSU). Movements of vehicles are limited to road layouts and fast compared to other ad hoc networks. Hence, frequent disconnections are happening in the com...

In this work, a Rich Vehicle Routing Problem (RVRP) is faced for solving city logistic problems. particular, we deal with the problem of company that has to define best distribution strategy obtaining an efficient usage vehicles and reducing transportation costs while serving customers different priority demands during given planning horizon. Thus, multi-period vehicle routing heterogeneous fle...

Routing of service vehicles are the heart of many service operations. Exclusively vehicle routing problem (VRP) plays a central role in the optimization of distribution networks. The routing of service vehicles has a major impact on the quality of the service provided. In distribution of goods and services, it is time and again required to determine a combination of least cost vehicle routes th...

Vehicular Ad Hoc Networks (VANET) has emerged to establish communication between intelligent vehicles. The high mobility of vehicles and existing of obstacles in urban area make the communication link between vehicles to be unreliable. In this environment, most geographical routing protocols does not consider stable and reliable link during packet forwarding towards destination. Thus, the netwo...

Reinforcement learning has recently shown promise in quality solutions many combinatorial optimization problems. In particular, the attention-based encoder-decoder models show high effectiveness on various routing problems, including Traveling Salesman Problem (TSP). Unfortunately, they perform poorly for TSP with Drone (TSP-D), requiring a heterogeneous fleet of vehicles coordination—a truck a...

In this work, the capacitated location-routing problem with simultaneous pickup and delivery (CLRP-SPD) is considered. This problem is a more realistic case of the capacitated location-routing problem (CLRP) and belongs to the reverse logistics of the supply chain. The problem has many real-life applications of which some have been addressed in the literature such as management of liquid petrol...

In a disaster scenario, relief items distribution is required as early possible for the victims to reduce associated risks. For tasks, an effective and efficient model essential generate schedules minimise impact of victims. However, developing challenging problem has multiple objectives look after where are mostly contradictorily creating barrier simultaneous optimisation each objective. Also,...