In recent years, Software Defined Networking (SDN) has emerged as a pivotal element not
only in data-centers and wide-area networks, but also in next generation networking …

The vehicle routing problem with time windows is a complex combinatorial problem with
many real-world applications in transportation and distribution logistics. Its main objective is …

This paper presents a new multi-objective discreet learnable evolution model (MODLEM) to
address the vehicle routing problem with time windows (VRPTW). Learnable evolution …

Software-defined networking paradigm faces many challenges, including reliability,
resiliency, scalability, and availability. These challenges can be tackled by carefully …

The vehicle routing problem (VRP) is an important aspect of transportation logistics with
many variants. This paper studies the VRP with backhauls (VRPB) in which the set of …

Abstract Software Defined Network (SDN) is an emerging approach to overcome challenges
of traditional networks. One particularly important issue in SDN architectures is that of …

A multiobjective optimization problem called a vehicle routing problem with route balancing
(VRPRB) is studied. VRPRB extends traditional VRPs by considering two objectives …

Managing all the mobility and transportation services with autonomous vehicles for users of
a smart city requires determining the assignment of the vehicles to the users and their …

Band selection plays an important role in identifying the most useful and valuable
information contained in the hyperspectral images for further data analysis such as …

This thesis tackles the Urban Transit Network Design Problem (UTNDP) which involves
determining an efficient set of routes and schedules for public transit networks. The UTNDP …