Genetic Algorithm applied to Ambulance location: Case Study of the Kumasi Metropolis in Ghana - Softcover
Synopsis
Decision makers, mainly the health sector are constantly faced with the problem of providing the best health care service for communities, regions and provinces all around the world yet they sit on very tight budget constraints. The number of ambulances to purchase and where to locate them which is one of the difficult decisions they have to deal with can be very daunting. The ambulance location problem has been under study for a long time and a lot of approaches have been employed in solving this very sensitive location problem. This book takes a look at the application of an interesting area of optimization, Genetic Algorithms, to the location of the ambulance in Ghana's second largest city. GA's prove to be efficient in handling such class of optimization problems that have been around for a long time. The area is relatively new but it can be efficient in dealing with this situation.
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About the Author
Gordon Amoako currently serves as tutor/IT assistant at the African Institute for Mathematical Sciences in Cape Town, South Africa. Prior to his current engagement, he was an Adjunct Lecturer at Ashesi University, Accra-Ghana where he taught Quantitative Methods to the Sophomore class.
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Genetic Algorithm applied to Ambulance location
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LAP LAMBERT Academic Publishing Mrz 2011, 2011
ISBN 10: 3844316353
ISBN 13: 9783844316353
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Decision makers, mainly the health sector are constantly faced with the problem of providing the best health care service for communities, regions and provinces all around the world yet they sit on very tight budget constraints. The number of ambulances to purchase and where to locate them which is one of the difficult decisions they have to deal with can be very daunting. The ambulance location problem has been under study for a long time and a lot of approaches have been employed in solving this very sensitive location problem. This book takes a look at the application of an interesting area of optimization, Genetic Algorithms, to the location of the ambulance in Ghana's second largest city. GA's prove to be efficient in handling such class of optimization problems that have been around for a long time. The area is relatively new but it can be efficient in dealing with this situation. 100 pp. Englisch. Seller Inventory # 9783844316353
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Genetic Algorithm applied to Ambulance location
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ISBN 10: 3844316353
ISBN 13: 9783844316353
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Amoako GordonGordon Amoako currently serves as tutor/IT assistant at the African Institute for Mathematical Sciences in Cape Town, South Africa. Prior to his current engagement, he was an Adjunct Lecturer at Ashesi University, Accra-. Seller Inventory # 5472092
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Genetic Algorithm applied to Ambulance location
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LAP LAMBERT Academic Publishing Mär 2011, 2011
ISBN 10: 3844316353
ISBN 13: 9783844316353
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Decision makers, mainly the health sector are constantly faced with the problem of providing the best health care service for communities, regions and provinces all around the world yet they sit on very tight budget constraints. The number of ambulances to purchase and where to locate them which is one of the difficult decisions they have to deal with can be very daunting. The ambulance location problem has been under study for a long time and a lot of approaches have been employed in solving this very sensitive location problem. This book takes a look at the application of an interesting area of optimization, Genetic Algorithms, to the location of the ambulance in Ghana''s second largest city. GA''s prove to be efficient in handling such class of optimization problems that have been around for a long time. The area is relatively new but it can be efficient in dealing with this situation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Seller Inventory # 9783844316353
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Genetic Algorithm applied to Ambulance location : Case Study of the Kumasi Metropolis in Ghana
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844316353
ISBN 13: 9783844316353
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Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Decision makers, mainly the health sector are constantly faced with the problem of providing the best health care service for communities, regions and provinces all around the world yet they sit on very tight budget constraints. The number of ambulances to purchase and where to locate them which is one of the difficult decisions they have to deal with can be very daunting. The ambulance location problem has been under study for a long time and a lot of approaches have been employed in solving this very sensitive location problem. This book takes a look at the application of an interesting area of optimization, Genetic Algorithms, to the location of the ambulance in Ghana's second largest city. GA's prove to be efficient in handling such class of optimization problems that have been around for a long time. The area is relatively new but it can be efficient in dealing with this situation. Seller Inventory # 9783844316353
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Genetic Algorithm applied to Ambulance location | Case Study of the Kumasi Metropolis in Ghana
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Taschenbuch. Condition: Neu. Genetic Algorithm applied to Ambulance location | Case Study of the Kumasi Metropolis in Ghana | Gordon Amoako | Taschenbuch | 100 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844316353 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 107065390
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Genetic Algorithm applied to Ambulance location: Case Study of the Kumasi Metropolis in Ghana
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844316353
ISBN 13: 9783844316353
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