capacitated vehicle routing problem von ibrahim abdullahi (15 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware -Cost of transportation of goods and services is an interesting topic in today's society. Capacitated vehicle routing problem is one of the variants of the vehicle routing problem. In this research we develop a machine learning technique to nd optimal paths from a depot to the set of customers while also considering the capacity of the vehicles, in order to reduce the cost of transportation of goods and services. Each vehicle originates from a depot, service the customers and return to the depot. We compare the machine learning model with an exact method; column generation. Our objective is to solve a large-size of vehicle routing problem to optimality.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.

Taschenbuch. Zustand: Neu. Capacitated Vehicle Routing Problem | Ibrahim Abdullahi Adinoyi | Taschenbuch | 76 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202517683 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Neuware -Cost of transportation of goods and services is an interesting topic in today¿s society. The Capacitated vehicle routing problem, which is been consider in this research, is one of the variants of the vehicle routing problem. In this research we develop a reinforcement learning technique to find optimal paths from a depot to the set of customers while also considering the capacity of the vehicles, in order to reduce the cost of transportation of goods and services. Our basic assumptions are; each vehicle originates from a depot, service the customers and return to the depot, the vehicles are homogeneous. We solve the CVRP with an exact method; column generation, goole¿s operation research tool and reinforcement learning and compare their solutions. Our objective is to solve a large-size of vehicle routing problem to optimality.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Französisch.

Taschenbuch. Zustand: Neu. Capacitated vehicle routing problem | Abdullahi Adinoyi Ibrahim (u. a.) | Taschenbuch | 76 S. | Französisch | 2019 | Éditions universitaires européennes | EAN 9786138477624 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Französisch | Produktart: Bücher.

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cost of transportation of goods and services is an interesting topic in today's society. Capacitated vehicle routing problem is one of the variants of the vehicle routing problem. In this research we develop a machine learning technique to nd optimal paths from a depot to the set of customers while also considering the capacity of the vehicles, in order to reduce the cost of transportation of goods and services. Each vehicle originates from a depot, service the customers and return to the depot. We compare the machine learning model with an exact method; column generation. Our objective is to solve a large-size of vehicle routing problem to optimality. 76 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Adinoyi Ibrahim AbdullahiIbrahim Abdullahi Adinoyi is a holder of Master s Science Degree, African Institute for Mathematical Sciences (AIMS).Cost of transportation of goods and services is an interesting topic in today s society.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cost of transportation of goods and services is an interesting topic in today's society. The Capacitated vehicle routing problem, which is been consider in this research, is one of the variants of the vehicle routing problem. In this research we develop a reinforcement learning technique to find optimal paths from a depot to the set of customers while also considering the capacity of the vehicles, in order to reduce the cost of transportation of goods and services. Our basic assumptions are; each vehicle originates from a depot, service the customers and return to the depot, the vehicles are homogeneous. We solve the CVRP with an exact method; column generation, goole's operation research tool and reinforcement learning and compare their solutions. Our objective is to solve a large-size of vehicle routing problem to optimality. 76 pp. Französisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cost of transportation of goods and services is an interesting topic in today's society. Capacitated vehicle routing problem is one of the variants of the vehicle routing problem. In this research we develop a machine learning technique to nd optimal paths from a depot to the set of customers while also considering the capacity of the vehicles, in order to reduce the cost of transportation of goods and services. Each vehicle originates from a depot, service the customers and return to the depot. We compare the machine learning model with an exact method; column generation. Our objective is to solve a large-size of vehicle routing problem to optimality.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ibrahim Abdullahi AdinoyiIbrahim Abdullahi holds a Bachelors degree in Mathematics with First Class from Ekiti State University, Nigeria and a Masters degree in Mathematical Science from AIMS-Senegal, with distinction grade. He is a.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cost of transportation of goods and services is an interesting topic in today's society. The Capacitated vehicle routing problem, which is been consider in this research, is one of the variants of the vehicle routing problem. In this research we develop a reinforcement learning technique to find optimal paths from a depot to the set of customers while also considering the capacity of the vehicles, in order to reduce the cost of transportation of goods and services. Our basic assumptions are; each vehicle originates from a depot, service the customers and return to the depot, the vehicles are homogeneous. We solve the CVRP with an exact method; column generation, goole's operation research tool and reinforcement learning and compare their solutions. Our objective is to solve a large-size of vehicle routing problem to optimality.