The Fleet Size and Mix Vehicle Routing Problem with Time Windows(VRPTW) is the problem of determining, 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 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 VRPTW. Extensive computational experiments on benchmark instances show that the proposed method is robust and efficient, and outperforms the previously published results
ABSTRACT Vehicle Routing Problems have been extensively analyzed to reduce transportation costs. Mor...
This thesis demonstrates practical using of vehicle routing problem with time windows (VRPTW) and it...
The Vehicle Routing Problem with Time Windows (VRPTW) is an important problem in logistics, which is...
The Fleet Size and Mix Vehicle Routing Problem with Time Windows(VRPTW) is the problem of determinin...
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 ...
Solving the Vehicle Routing Problem (VRP) and its related variants is at the heart of scientific re...
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 addresses the Vehicle Routing Problem with Time Windows (VRPTW) and shows that implementi...
This paper introduces the fleet size and mix location-routing problem with time windows (FSMLRPTW) w...
The Vehicle Routing Problem with Time Windows (VRPTW) is a combinatorial optimization problem. It de...
Vehicle Routing Problem with Time Window (VRPTW) is an extension of classical Vehicle Routing Proble...
This paper describes a heuristic for the Vehicle Routing and Scheduling Problem with Time Windows (V...
This paper presents a powerful new single-parameter metaheuristic to solve the Fleet Size and Mix Ve...
ABSTRACT Vehicle Routing Problems have been extensively analyzed to reduce transportation costs. Mor...
This thesis demonstrates practical using of vehicle routing problem with time windows (VRPTW) and it...
The Vehicle Routing Problem with Time Windows (VRPTW) is an important problem in logistics, which is...
The Fleet Size and Mix Vehicle Routing Problem with Time Windows(VRPTW) is the problem of determinin...
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 ...
Solving the Vehicle Routing Problem (VRP) and its related variants is at the heart of scientific re...
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 addresses the Vehicle Routing Problem with Time Windows (VRPTW) and shows that implementi...
This paper introduces the fleet size and mix location-routing problem with time windows (FSMLRPTW) w...
The Vehicle Routing Problem with Time Windows (VRPTW) is a combinatorial optimization problem. It de...
Vehicle Routing Problem with Time Window (VRPTW) is an extension of classical Vehicle Routing Proble...
This paper describes a heuristic for the Vehicle Routing and Scheduling Problem with Time Windows (V...
This paper presents a powerful new single-parameter metaheuristic to solve the Fleet Size and Mix Ve...
ABSTRACT Vehicle Routing Problems have been extensively analyzed to reduce transportation costs. Mor...
This thesis demonstrates practical using of vehicle routing problem with time windows (VRPTW) and it...
The Vehicle Routing Problem with Time Windows (VRPTW) is an important problem in logistics, which is...