An algorithm that can tackle time dependent vehicle routing problems with hard or soft time windows without any alteration in its structure is presented. Analytical and experimental results indicate that average computational time increases proportionally to the number of customers squared. New replicable test problems that capture the typical speed variations of congested urban settings are proposed. Solution quality, time window perturbations, and computational time results are discussed as well as a method to study the impact of perturbations by problem type. The algorithm efficiency and simplicity is well suited for urban areas where fast running times may be required
In this paper, we introduce the Vehicle Routing Problem with Flexible Time Windows (VRPFlexTW), in w...
of the vehicle routing problem with time windows H.Hashimoto, T.Ibaraki, S.Imahori and M.Yagiura The...
New retail trends show the increasing importance of providing cost efficient deliveries in cities, w...
Author's personal copy The time dependent vehicle routing problem with time windows: Benchmark ...
In urban areas, congestion creates a substantial variation in travel speeds during peak morning and ...
Vehicle Routing Problem with Time Windows is a hard optimization problem. Even though it has numerou...
This paper studies a vehicle routing problem with time-dependent and stochastic travel times. In our...
The solution of routing problems with soft time windows has valuable practical applications. Soft ti...
The goal of this thesis is developing an efficient method that produces good quality solutions to re...
AbstractIn this paper we present an experimental evaluation of an algorithm for time-dependent vehic...
A new mixed-integer nonlinear programming model is presented for the time-dependent vehicle routing ...
This paper addresses the Vehicle Routing Problem with Time Windows (VRPTW) and shows that implementi...
This paper provides a framework for solving the Time Dependent Vehicle Routing Problem (TDVRP) by us...
WOS: 000285689700017In this study, vehicle routing problems with hard time windows and simultaneous ...
This paper describes a heuristic for the Vehicle Routing and Scheduling Problem with Time Windows (V...
In this paper, we introduce the Vehicle Routing Problem with Flexible Time Windows (VRPFlexTW), in w...
of the vehicle routing problem with time windows H.Hashimoto, T.Ibaraki, S.Imahori and M.Yagiura The...
New retail trends show the increasing importance of providing cost efficient deliveries in cities, w...
Author's personal copy The time dependent vehicle routing problem with time windows: Benchmark ...
In urban areas, congestion creates a substantial variation in travel speeds during peak morning and ...
Vehicle Routing Problem with Time Windows is a hard optimization problem. Even though it has numerou...
This paper studies a vehicle routing problem with time-dependent and stochastic travel times. In our...
The solution of routing problems with soft time windows has valuable practical applications. Soft ti...
The goal of this thesis is developing an efficient method that produces good quality solutions to re...
AbstractIn this paper we present an experimental evaluation of an algorithm for time-dependent vehic...
A new mixed-integer nonlinear programming model is presented for the time-dependent vehicle routing ...
This paper addresses the Vehicle Routing Problem with Time Windows (VRPTW) and shows that implementi...
This paper provides a framework for solving the Time Dependent Vehicle Routing Problem (TDVRP) by us...
WOS: 000285689700017In this study, vehicle routing problems with hard time windows and simultaneous ...
This paper describes a heuristic for the Vehicle Routing and Scheduling Problem with Time Windows (V...
In this paper, we introduce the Vehicle Routing Problem with Flexible Time Windows (VRPFlexTW), in w...
of the vehicle routing problem with time windows H.Hashimoto, T.Ibaraki, S.Imahori and M.Yagiura The...
New retail trends show the increasing importance of providing cost efficient deliveries in cities, w...