The fleet size and mix vehicle routing problem with time windows (FSMVRPTW) is the problem of determin- ing, at the same time, the composition and the routing of a fleet of heterogeneous vehicles aimed to serve a given set of customers. The routing problem requires us to design a set of minimum-cost routes originating and terminating at a central depot and serving customers with known demands, within given time windows. This paper develops a constructive insertion heuristic and a metaheuristic algorithm for FSMVRPTW. Extensive computational experiments on benchmark instances show that the proposed method is robust and efficient, and outperforms the previously published results
This paper describes a heuristic for the Vehicle Routing and Scheduling Problem with Time Windows (V...
In this paper we propose a heuristic algorithm to solve the Vehicle Routing Problem with Time Window...
In this paper we propose a heuristic algorithm to solve the Vehicle Routing Problem with Time Window...
The fleet size and mix vehicle routing problem with time windows (FSMVRPTW) is the problem of determ...
The fleet size and mix vehicle routing problem with time windows (FSMVRPTW) is the problem of determ...
In the Fleet Size and Mix Vehicle Routing Problem with Time Windows (FSMVRPTW) customers need to be ...
This paper presents an efficient and well-scalable metaheuristic for fleet size and mix vehicle rout...
This paper introduces the fleet size and mix location-routing problem with time windows (FSML- RPTW)...
This paper introduces the fleet size and mix location-routing problem with time windows (FSMLRPTW) w...
Solving the Vehicle Routing Problem (VRP) and its related variants is at the heart of scientific re...
The classical or capacitated Vehicle Routing Problem assumes vehicles to be homogeneous and customer...
This paper presents a powerful new single-parameter metaheuristic to solve the Fleet Size and Mix Ve...
This paper presents a new deterministic annealing metaheuristic for the fleet size and mix vehicle-r...
This paper addresses the Vehicle Routing Problem with Time Windows (VRPTW) and shows that implementi...
The Vehicle Routing Problem with Time Windows (VRPTW) is a combinatorial optimization problem. It de...
This paper describes a heuristic for the Vehicle Routing and Scheduling Problem with Time Windows (V...
In this paper we propose a heuristic algorithm to solve the Vehicle Routing Problem with Time Window...
In this paper we propose a heuristic algorithm to solve the Vehicle Routing Problem with Time Window...
The fleet size and mix vehicle routing problem with time windows (FSMVRPTW) is the problem of determ...
The fleet size and mix vehicle routing problem with time windows (FSMVRPTW) is the problem of determ...
In the Fleet Size and Mix Vehicle Routing Problem with Time Windows (FSMVRPTW) customers need to be ...
This paper presents an efficient and well-scalable metaheuristic for fleet size and mix vehicle rout...
This paper introduces the fleet size and mix location-routing problem with time windows (FSML- RPTW)...
This paper introduces the fleet size and mix location-routing problem with time windows (FSMLRPTW) w...
Solving the Vehicle Routing Problem (VRP) and its related variants is at the heart of scientific re...
The classical or capacitated Vehicle Routing Problem assumes vehicles to be homogeneous and customer...
This paper presents a powerful new single-parameter metaheuristic to solve the Fleet Size and Mix Ve...
This paper presents a new deterministic annealing metaheuristic for the fleet size and mix vehicle-r...
This paper addresses the Vehicle Routing Problem with Time Windows (VRPTW) and shows that implementi...
The Vehicle Routing Problem with Time Windows (VRPTW) is a combinatorial optimization problem. It de...
This paper describes a heuristic for the Vehicle Routing and Scheduling Problem with Time Windows (V...
In this paper we propose a heuristic algorithm to solve the Vehicle Routing Problem with Time Window...
In this paper we propose a heuristic algorithm to solve the Vehicle Routing Problem with Time Window...