Metaheuristics in water, geotechnical and transport engineering:
"Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design opt...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam Boston
Elsevier
2012
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Elsevier insights
|
| Schlagworte: | |
| Online-Zugang: | FLA01 Volltext |
| Zusammenfassung: | "Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks."--Publisher's website |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | 1 online resource (xvii, 484 pages) illustrations |
| ISBN: | 9780123983176 0123983177 9781283619912 1283619911 |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.6 |
| dewey-search | 519.6 |
| dewey-sort | 3519.6 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV046125883 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:35:52Z |
| institution | BVB |
| isbn | 9780123983176 0123983177 9781283619912 1283619911 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031506336 |
| oclc_num | 809248725 |
| open_access_boolean | |
| physical | 1 online resource (xvii, 484 pages) illustrations |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Elsevier |
| record_format | marc |
| series2 | Elsevier insights |
| spelling | Metaheuristics in water, geotechnical and transport engineering edited by Xin-She Yang [and others] 1st ed Amsterdam Boston Elsevier 2012 1 online resource (xvii, 484 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Elsevier insights Includes bibliographical references "Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks."--Publisher's website MATHEMATICS / Optimization bisacsh Engineering mathematics fast Mathematical optimization fast Mathematical optimization Engineering mathematics Yang, Xin-She Sonstige oth Erscheint auch als Druck-Ausgabe 0123982960 Erscheint auch als Druck-Ausgabe 9780123982964 http://www.sciencedirect.com/science/book/9780123982964 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Metaheuristics in water, geotechnical and transport engineering MATHEMATICS / Optimization bisacsh Engineering mathematics fast Mathematical optimization fast Mathematical optimization Engineering mathematics |
| title | Metaheuristics in water, geotechnical and transport engineering |
| title_auth | Metaheuristics in water, geotechnical and transport engineering |
| title_exact_search | Metaheuristics in water, geotechnical and transport engineering |
| title_full | Metaheuristics in water, geotechnical and transport engineering edited by Xin-She Yang [and others] |
| title_fullStr | Metaheuristics in water, geotechnical and transport engineering edited by Xin-She Yang [and others] |
| title_full_unstemmed | Metaheuristics in water, geotechnical and transport engineering edited by Xin-She Yang [and others] |
| title_short | Metaheuristics in water, geotechnical and transport engineering |
| title_sort | metaheuristics in water geotechnical and transport engineering |
| topic | MATHEMATICS / Optimization bisacsh Engineering mathematics fast Mathematical optimization fast Mathematical optimization Engineering mathematics |
| topic_facet | MATHEMATICS / Optimization Engineering mathematics Mathematical optimization |
| url | http://www.sciencedirect.com/science/book/9780123982964 |
| work_keys_str_mv | AT yangxinshe metaheuristicsinwatergeotechnicalandtransportengineering |