Lingua: Inglese
Editore: World Scientific Publishing Co, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: World Scientific Publishing Co, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
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Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: World Scientific Publishing Co, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
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Lingua: Inglese
Editore: World Scientific Publishing Co, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
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ISBN 10: 9813272805 ISBN 13: 9789813272804
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Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
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Aggiungi al carrelloHardback. Condizione: New. This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.
Lingua: Inglese
Editore: World Scientific Pub Co Inc, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 276 pages. 9.00x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: World Scientific Publishing Co Pte Ltd, SG, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
Da: Rarewaves.com UK, London, Regno Unito
EUR 138,89
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Aggiungi al carrelloHardback. Condizione: New. This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.
Lingua: Inglese
Editore: World Scientific Publishing Co, 2020
ISBN 10: 9813272805 ISBN 13: 9789813272804
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Aggiungi al carrelloBuch. Condizione: Neu. ARTIFICIAL INTELLIGENCE IN HIGHWAY LOCATION SELECT & ALIGN | Kang Min-Wook | Buch | Gebunden | Englisch | 2020 | World Scientific | EAN 9789813272804 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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EUR 139,32
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.