Abstract—Vehicle routing problem (VRP) is real-world combinatorial optimization problem which determine the optimal route of a vehicle. Generally, to provide the efficient vehicle serving to the customer through different services by visiting the number of cities or stops, the VRP follows the Travelling Salesman Problem (TSP), in which each of vehicle visiting a set of cities such that every city is visited by exactly one vehicle only once. This work proposes the Ant Colony Optimization (ACO)-TSP algorithm to eliminate the tour loop for Open Vehicle routing Problem (OVRP). A key aspect of this algorithm is to plan the routes of buses that must pick up and deliver the school students from various bus stops on time, especially in the case of ...
In this study, Travelling Salesman Problem (TSP), an NP-hard problem, is addressed. In order to get ...
Along with the progress in computer hardware architecture and computational power, in order to overc...
For the last fifty years, finding efficient vehicle routes has been studied as a representative logi...
Ant colony optimization (ACO) is a metaheuristic for combinatorial optimization problems. In this pa...
Engineering field usually requires having the best design for an optimum performance, thus optimizat...
We propose a matheuristic approach to solve several types of vehicle routing problems (VRP). In the ...
Ant Colony Optimisation is a metaheuristic for combinatorial optimisation problems. In this paper we...
ABSTRACT Vehicle routing problem (VRP) is a Nondeterministic Polynomial Hard combinatorial optimiza...
Ant Colony Optimization algorithms are swarm intelligence algorithms, and they are inspired by the b...
Route optimization problem using vehicle routing problem (VRP) and time window constraint is explain...
Arbeit an der Bibliothek noch nicht eingelangt - Daten nicht geprüftAbweichender Titel nach Übersetz...
Abstract: Ant colonies are successfully used nowadays as multi-agent systems (MAS) to solve difficul...
Abstract — In this paper, the authors want to implement the solution of combinatorial problem, based...
Along with the progress in computer hardware architecture and computational power, in order to overc...
The ant system is a metaheuristic developed for the solution of hard combinatorial optimization prob...
In this study, Travelling Salesman Problem (TSP), an NP-hard problem, is addressed. In order to get ...
Along with the progress in computer hardware architecture and computational power, in order to overc...
For the last fifty years, finding efficient vehicle routes has been studied as a representative logi...
Ant colony optimization (ACO) is a metaheuristic for combinatorial optimization problems. In this pa...
Engineering field usually requires having the best design for an optimum performance, thus optimizat...
We propose a matheuristic approach to solve several types of vehicle routing problems (VRP). In the ...
Ant Colony Optimisation is a metaheuristic for combinatorial optimisation problems. In this paper we...
ABSTRACT Vehicle routing problem (VRP) is a Nondeterministic Polynomial Hard combinatorial optimiza...
Ant Colony Optimization algorithms are swarm intelligence algorithms, and they are inspired by the b...
Route optimization problem using vehicle routing problem (VRP) and time window constraint is explain...
Arbeit an der Bibliothek noch nicht eingelangt - Daten nicht geprüftAbweichender Titel nach Übersetz...
Abstract: Ant colonies are successfully used nowadays as multi-agent systems (MAS) to solve difficul...
Abstract — In this paper, the authors want to implement the solution of combinatorial problem, based...
Along with the progress in computer hardware architecture and computational power, in order to overc...
The ant system is a metaheuristic developed for the solution of hard combinatorial optimization prob...
In this study, Travelling Salesman Problem (TSP), an NP-hard problem, is addressed. In order to get ...
Along with the progress in computer hardware architecture and computational power, in order to overc...
For the last fifty years, finding efficient vehicle routes has been studied as a representative logi...