Category: <span>Additions2</span>

Solving Time-Dependent Traveling Salesman Problem with Time Windows with Deep Reinforcement Learning

Traveling Salesman Problem (TSP) is a well-known NP-hard combinatorial optimization problem. Recently, many researchers have used deep reinforcement learning to solve it. However, traffic factors are rarely considered in their works, in which the traveling time between customer locations is …

The Time-Dependent Vehicle Routing Problem with Time Windows and Road-Network Information

Most time-dependent vehicle routing problems are based on a similar modeling paradigm: travel time information is represented by travel time functions between pairs of points of interest (e.g., depot or customers). Only a few papers investigate how these functions can …

Properties and Bounds for the Single-vehicle Capacitated Routing Problem with Time-dependent Travel Times and Multiple Trips:

This paper deals with a problem where the same vehicle performs several routes to serve a set of customers and arc traversal times vary along the planning horizon. The relationship with its time-invariant counterpart is investigated and a procedure to …

The time-dependent capacitated profitable tour problem with time windows and precedence constraints

We introduce the time-dependent capacitated profitable tour problem with time windows and precedence constraints. This problem concerns determining a tour and its departure time at the depot that maximizes the collected profit minus the total travel cost (measured by total …

The time-dependent orienteering problem with time windows: a fast ant colony system

This paper proposes a fast ant colony system based solution method to solve realistic instances of the time-dependent orienteering problem with time windows within a few seconds of computation time. Orienteering problems occur in logistic situations where an optimal combination …

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