Artificial intelligence in highway location and alignment optimization: applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments
"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 var...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific
2020
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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"--Publisher's website |
| Beschreibung: | 1 Online-Ressource (xii, 276 Seiten) |
| ISBN: | 9789813272811 |
Internformat
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| 264 | 1 | |a Singapore |b World Scientific |c 2020 | |
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| 520 | |a "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"--Publisher's website | ||
| 650 | 4 | |a Roads / Design and construction / Mathematical models | |
| 650 | 4 | |a Highway planning / Mathematical models | |
| 650 | 4 | |a Genetic algorithms | |
| 650 | 4 | |a Artificial intelligence / Engineering applications | |
| 650 | 4 | |a Mathematical optimization | |
| 700 | 1 | |a Schonfeld, Paul |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| author | Kang, Min-Wook |
| author_facet | Kang, Min-Wook |
| author_role | aut |
| author_sort | Kang, Min-Wook |
| author_variant | m w k mwk |
| building | Verbundindex |
| bvnumber | BV047124630 |
| collection | ZDB-124-WOP |
| ctrlnum | (ZDB-124-WOP)00011059 (OCoLC)1237590679 (DE-599)BVBBV047124630 |
| dewey-full | 625.725028563 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 625 - Engineering of railroads and roads |
| dewey-raw | 625.725028563 |
| dewey-search | 625.725028563 |
| dewey-sort | 3625.725028563 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Bauingenieurwesen Verkehr / Transport |
| discipline_str_mv | Bauingenieurwesen Verkehr / Transport |
| format | Electronic eBook |
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| id | DE-604.BV047124630 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:30:25Z |
| indexdate | 2024-07-10T09:03:19Z |
| institution | BVB |
| isbn | 9789813272811 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032530870 |
| oclc_num | 1237590679 |
| open_access_boolean | |
| physical | 1 Online-Ressource (xii, 276 Seiten) |
| psigel | ZDB-124-WOP |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | World Scientific |
| record_format | marc |
| spelling | Kang, Min-Wook Verfasser aut Artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments by Min-Wook Kang, Paul Schonfeld Singapore World Scientific 2020 1 Online-Ressource (xii, 276 Seiten) txt rdacontent c rdamedia cr rdacarrier "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"--Publisher's website Roads / Design and construction / Mathematical models Highway planning / Mathematical models Genetic algorithms Artificial intelligence / Engineering applications Mathematical optimization Schonfeld, Paul Sonstige oth https://www.worldscientific.com/worldscibooks/10.1142/11059#t=toc Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kang, Min-Wook Artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments Roads / Design and construction / Mathematical models Highway planning / Mathematical models Genetic algorithms Artificial intelligence / Engineering applications Mathematical optimization |
| title | Artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments |
| title_auth | Artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments |
| title_exact_search | Artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments |
| title_exact_search_txtP | Artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments |
| title_full | Artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments by Min-Wook Kang, Paul Schonfeld |
| title_fullStr | Artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments by Min-Wook Kang, Paul Schonfeld |
| title_full_unstemmed | Artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments by Min-Wook Kang, Paul Schonfeld |
| title_short | Artificial intelligence in highway location and alignment optimization |
| title_sort | artificial intelligence in highway location and alignment optimization applications of genetic algorithms in searching evaluating and optimizing highway location and alignments |
| title_sub | applications of genetic algorithms in searching, evaluating, and optimizing highway location and alignments |
| topic | Roads / Design and construction / Mathematical models Highway planning / Mathematical models Genetic algorithms Artificial intelligence / Engineering applications Mathematical optimization |
| topic_facet | Roads / Design and construction / Mathematical models Highway planning / Mathematical models Genetic algorithms Artificial intelligence / Engineering applications Mathematical optimization |
| url | https://www.worldscientific.com/worldscibooks/10.1142/11059#t=toc |
| work_keys_str_mv | AT kangminwook artificialintelligenceinhighwaylocationandalignmentoptimizationapplicationsofgeneticalgorithmsinsearchingevaluatingandoptimizinghighwaylocationandalignments AT schonfeldpaul artificialintelligenceinhighwaylocationandalignmentoptimizationapplicationsofgeneticalgorithmsinsearchingevaluatingandoptimizinghighwaylocationandalignments |