Although a significant amount of research has focused on the use of Artificial Neural Networks (ANNs) for solving the Traveling Salesman Problem (TSP), there is considerably less attention on the application of ANNs to the Vehicle Routing Problem (VRP). This paper proposes an updated Self Organizing Map approach to solving the Capacitated Vehicle Routing Problem (CVRP). The proposed algorithm extends existing research by strengthening the bias term and introducing a restricted mechanism in order to encourage the network to explore a greater number of feasible solutions. Numerical results from benchmark problems demonstrate that the proposed algorithm is superior to two other well-known construction heuristics, the Sweep algorithm and the Cl...
In this paper, three cluster-first route-second approaches are proposed to solve the capacitated veh...
This work aims to develop an enhanced Perturbation based Variable Neighborhood Search with Adaptive ...
This paper proposed a random-key based solution representaion and decoding metdod for solving the Ca...
Although a significant amount of research has focused on the use of Artificial Neural Networks (ANNs...
The Vehicle Routing Problem (VRP) is an NP-hard, combinatorial optimization problem. For NP-hard pro...
The Vehicle Routing Problem (VRP) is an �P-hard, combinatorial optimization problem. For �P-hard pro...
Solutions for NP-hard problems are often obtained using heuristics that yield results relatively qui...
Easy to explain and difficult to solve, the traveling salesman problem, TSP, is to find the minimum ...
Vehicle Routing Problem (VRP) is a real life constraint satisfaction problem to find minimal travel...
The capacitated vehicle routing problems (CVRP) are NP-hard. Most approaches can solve small-scale c...
The Capacitated Vehicle Routing Problem (CVRP) is a special variant of the Vehicle Routing Problem w...
The Vehicle Routing Problem (VRP) is a hard and very well-known combinatorial optimization problem ...
The capacitated vehicle routing problem (CVRP) is one of the combinatorial optimization problems wit...
Routing problems are optimization problems that consider a set of goals in a graph to be visited by ...
Vehicle routing problems have been studied for more than 50 years, and their in- terest has never be...
In this paper, three cluster-first route-second approaches are proposed to solve the capacitated veh...
This work aims to develop an enhanced Perturbation based Variable Neighborhood Search with Adaptive ...
This paper proposed a random-key based solution representaion and decoding metdod for solving the Ca...
Although a significant amount of research has focused on the use of Artificial Neural Networks (ANNs...
The Vehicle Routing Problem (VRP) is an NP-hard, combinatorial optimization problem. For NP-hard pro...
The Vehicle Routing Problem (VRP) is an �P-hard, combinatorial optimization problem. For �P-hard pro...
Solutions for NP-hard problems are often obtained using heuristics that yield results relatively qui...
Easy to explain and difficult to solve, the traveling salesman problem, TSP, is to find the minimum ...
Vehicle Routing Problem (VRP) is a real life constraint satisfaction problem to find minimal travel...
The capacitated vehicle routing problems (CVRP) are NP-hard. Most approaches can solve small-scale c...
The Capacitated Vehicle Routing Problem (CVRP) is a special variant of the Vehicle Routing Problem w...
The Vehicle Routing Problem (VRP) is a hard and very well-known combinatorial optimization problem ...
The capacitated vehicle routing problem (CVRP) is one of the combinatorial optimization problems wit...
Routing problems are optimization problems that consider a set of goals in a graph to be visited by ...
Vehicle routing problems have been studied for more than 50 years, and their in- terest has never be...
In this paper, three cluster-first route-second approaches are proposed to solve the capacitated veh...
This work aims to develop an enhanced Perturbation based Variable Neighborhood Search with Adaptive ...
This paper proposed a random-key based solution representaion and decoding metdod for solving the Ca...