Solving the Vehicle Routing Problem using Genetic Algorithm

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15 صفحه اول

Solving the Vehicle Routing Problem by Using Cellular Genetic Algorithms

Cellular Genetic Algorithms (cGAs) are a subclass of Genetic Algorithms (GAs) in which the population diversity and exploration are enhanced thanks to the existence of small overlapped neighborhoods. Such a kind of structured algorithms is specially well suited for complex problems. In this paper we propose the utilization of some cGAs with and without including local search techniques for solv...

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Solving the vehicle routing problem by a hybrid meta-heuristic algorithm

The vehicle routing problem (VRP) is one of the most important combinational optimization problems that has nowadays received much attention because of its real application in industrial and service problems. The VRP involves routing a fleet of vehicles, each of them visiting a set of nodes such that every node is visited by exactly one vehicle only once. So, the objective is to minimize the to...

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A HYBRID ALGORITHM FOR THE OPEN VEHICLE ROUTING PROBLEM

The open vehicle routing problem (OVRP) is a variance of the vehicle routing problem (VRP) that has a unique character which is its open path form. This means that the vehicles are not required to return to the depot after completing service. Because this problem belongs to the NP-hard problems, many metaheuristic approaches like the ant colony optimization (ACO) have been used to solve OVRP in...

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Solving the Multi Depot Vehicle Routing Problem with Assignment Algorithm

The Vehicle Routing Problem (VRP) involves the design of a set of minimum cost vehicle routes, originating and terminating at a central depot, for a fleet of vehicles that services a set of customers with known demands. This study contains some information about Logistics and Supply Chain Management. In the second part Distribution Management, which is a more related subject with Vehicle Routin...

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ژورنال

عنوان ژورنال: International Journal of Advanced Computer Science and Applications

سال: 2011

ISSN: 2156-5570

DOI: 10.14569/ijacsa.2011.020719