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Название: Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments
Автор: Min-Wook Kang, Paul Schonfeld
Издательство: World Scientific Publishing
Год: 2021
Страниц: 289
Язык: английский
Формат: pdf (true), epub
Размер: 60.7 MB
This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location 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. Artificial Intelligence (AI) is a field of study that synthesizes and analyzes computational agents that act intelligently. Several AI methods have been applied in highway location and alignment optimization problems. These include (i) Genetic Algorithms (GAs), (ii) Swam Intelligence (SW), and (iii) Simulated Annealing (SA). This book discusses computer applications or models that used those AI methods to solve highway location and alignment optimization problems.
Автор: Min-Wook Kang, Paul Schonfeld
Издательство: World Scientific Publishing
Год: 2021
Страниц: 289
Язык: английский
Формат: pdf (true), epub
Размер: 60.7 MB
This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location 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. Artificial Intelligence (AI) is a field of study that synthesizes and analyzes computational agents that act intelligently. Several AI methods have been applied in highway location and alignment optimization problems. These include (i) Genetic Algorithms (GAs), (ii) Swam Intelligence (SW), and (iii) Simulated Annealing (SA). This book discusses computer applications or models that used those AI methods to solve highway location and alignment optimization problems.