In this paper, we consider the time-dependent multi-depot vehicle routing problem. The objective is to minimize the total heterogeneous fleet cost assuming that the travel time between locations depends on the departure time. Also, hard time window constraints for the customers and limitation on maximum number of the vehicles in depots must be satisfied. The problem is formulated as a mixed integer programming model. A constructive heuristic procedure is proposed for the problem. Also, the efficiency of the proposed algorithm is evaluated on 180 test problems. The obtained computational results indicate that the procedure is capable to obtain a satisfying solution
This study addresses a vehicle routing problem with time windows, accessibility restrictions on cust...
This paper presents a novel three-phase heuristic/algorithmic approach for the multi-depot routing p...
We consider the NP-hard Multiple Depot Vehicle Scheduling Problem, in which a given set of time-tabl...
[[abstract]]This paper presents a two-phase heuristic method that can be used to efficiently solve t...
We present a branch-and-cut-and-price algorithm for the exact solution of a variation of the vehicle...
This paper proposes a metaheuristic algorithm to solve the Multi-Depot Vehicle Routing Problem with ...
This paper presents a mixed integer non-linear programming (MINLP) model for a bi- objective and mul...
The aim of this thesis is to analyze different heuristic algorithms for solving the Multi-Depot Vehi...
The Fleet Size and Mix Vehicle Routing Problem with Time Windows(VRPTW) is the problem of determinin...
The Vehicle Routing Problem (VRP) consists of the routing of capacitated vehicles over a network of ...
The fleet size and mix vehicle routing problem with time windows (FSMVRPTW) is the problem of determ...
In this paper, we present a state-of-the-art survey on the vehicle routing problem with multiple dep...
In this paper, a new rich Vehicle Routing Problem that could arise in a real life context is introdu...
Solving the Vehicle Routing Problem (VRP) and its related variants is at the heart of scientific re...
In this paper, we consider the Time-Dependent Vehicle Routing Problem with Time Windows (TDVRPTW).Tr...
This study addresses a vehicle routing problem with time windows, accessibility restrictions on cust...
This paper presents a novel three-phase heuristic/algorithmic approach for the multi-depot routing p...
We consider the NP-hard Multiple Depot Vehicle Scheduling Problem, in which a given set of time-tabl...
[[abstract]]This paper presents a two-phase heuristic method that can be used to efficiently solve t...
We present a branch-and-cut-and-price algorithm for the exact solution of a variation of the vehicle...
This paper proposes a metaheuristic algorithm to solve the Multi-Depot Vehicle Routing Problem with ...
This paper presents a mixed integer non-linear programming (MINLP) model for a bi- objective and mul...
The aim of this thesis is to analyze different heuristic algorithms for solving the Multi-Depot Vehi...
The Fleet Size and Mix Vehicle Routing Problem with Time Windows(VRPTW) is the problem of determinin...
The Vehicle Routing Problem (VRP) consists of the routing of capacitated vehicles over a network of ...
The fleet size and mix vehicle routing problem with time windows (FSMVRPTW) is the problem of determ...
In this paper, we present a state-of-the-art survey on the vehicle routing problem with multiple dep...
In this paper, a new rich Vehicle Routing Problem that could arise in a real life context is introdu...
Solving the Vehicle Routing Problem (VRP) and its related variants is at the heart of scientific re...
In this paper, we consider the Time-Dependent Vehicle Routing Problem with Time Windows (TDVRPTW).Tr...
This study addresses a vehicle routing problem with time windows, accessibility restrictions on cust...
This paper presents a novel three-phase heuristic/algorithmic approach for the multi-depot routing p...
We consider the NP-hard Multiple Depot Vehicle Scheduling Problem, in which a given set of time-tabl...