Category: <span>Papers</span>

A Fissile Ripple Spreading Algorithm to Solve Time-Dependent Vehicle Routing Problem via Coevolutionary Path Optimization

The time-dependent vehicle routing problems have lately received great attention for logistics companies due to their crucial roles in reducing the time and economic costs, as well as fuel consumption and carbon emissions. However, the dynamic routing environment and traffic …

A metaheuristic for the time-dependent vehicle routing problem considering driving hours regulations – An application in city logistics

New retail trends show the increasing importance of providing cost efficient deliveries in cities, where congestion and compliance with driving hours regulations should be incorporated into routing software. This paper introduces a large neighbourhood search algorithm that substantially improves the …

Adaptive large neighborhood search for the time-dependent profitable pickup and delivery problem with time windows

The rise of e-commerce has increased the demands placed on pickup and delivery operations, as well as customer expectations regarding the quality of services provided by those operations. One strategy a logistics provider can employ for meeting these increases in …

Multi-Trip Time-Dependent Vehicle Routing Problem with Soft Time Windows and Overtime Constraints

© 2020, Springer Science+Business Media, LLC, part of Springer Nature.The multi-trip time-dependent vehicle routing problem with soft time windows and overtime constraints (MT-TDVRPSTW-OT) is considered in this paper. The modified hierarchical multi-objective formulation and the equivalent single-objective formulation are proposed. …

Dynamic Discretization Discovery for Solving the Time-Dependent Traveling Salesman Problem with Time Windows

We present a new solution approach for the time-dependent traveling salesman problem with time windows. This problem considers a salesman who departs from his home, has to visit a number of cities within a predetermined period of time, and then, …

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