ARTIFICIAL INTELLIGENCE IN HIGHWAY LOCATION AND ALIGNMENT OPTIMIZATION: APPLICATIONS OF GENETIC ALGORITHMS IN SEARCHING, EVALUATING, AND OPTIMIZING HIGHWAY LOCATION AND ALIGNMENTS
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2020
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 125.97
Quantity: Over 20 available
Add to basketItem description from seller
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.…
Seller Inventory # LU-9789813272804
- Title
- ARTIFICIAL INTELLIGENCE IN HIGHWAY LOCATION AND ALIGNMENT OPTIMIZATION: APPLICATIONS OF GENETIC ALGORITHMS IN SEARCHING, EVALUATING, AND OPTIMIZING HIGHWAY LOCATION AND ALIGNMENTS
- Author
- Paul Schonfeld, Min-Wook Kang
- Publisher
- World Scientific Publishing Co Pte Ltd, SG
- Publication year
- 2020
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 9813272805
- ISBN 13
- 9789813272804
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.
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Rarewaves.com USA
London, London, United Kingdom
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