Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching,Evaluating,And Optimizing Highway Location And Alignments
Author: Min-wook Kang and Paul Schonfeld
Publisher finelybook 出版社: World Scientific Publishing Co (September 30,2020)
Language 语言: English
Print Length 页数: 200 pages
ISBN-10: 9813272805
ISBN-13: 9789813272804
Book Description
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. 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 comprehensive review of other promising optimization methods for the HAO problem is also provided in this monograph.
Readership: The monograph is a valuable reference for graduate and postgraduate researchers who seek to solve transportation system and network optimization problems using Artificial Intelligence techniques
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