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 options t...

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Detalles Bibliográficos
Autores principales: Yang, Xin-She, Gandomi, Amir Hossein, Talatahari, Siamak, Alavi, Amir Hossein
Lenguaje:eng
Publicado: Elsevier Science 2013
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/2123887
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author Yang, Xin-She
Gandomi, Amir Hossein
Talatahari, Siamak
Alavi, Amir Hossein
author_facet Yang, Xin-She
Gandomi, Amir Hossein
Talatahari, Siamak
Alavi, Amir Hossein
author_sort Yang, Xin-She
collection CERN
description 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 la
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher Elsevier Science
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spelling cern-21238872021-04-21T19:51:12Zhttp://cds.cern.ch/record/2123887engYang, Xin-SheGandomi, Amir HosseinTalatahari, SiamakAlavi, Amir HosseinMetaheuristics in water, geotechnical and transport engineeringMathematical Physics and MathematicsDue 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 laElsevier Scienceoai:cds.cern.ch:21238872013
spellingShingle Mathematical Physics and Mathematics
Yang, Xin-She
Gandomi, Amir Hossein
Talatahari, Siamak
Alavi, Amir Hossein
Metaheuristics in water, geotechnical and transport engineering
title Metaheuristics in water, geotechnical and transport engineering
title_full Metaheuristics in water, geotechnical and transport engineering
title_fullStr Metaheuristics in water, geotechnical and transport engineering
title_full_unstemmed Metaheuristics in water, geotechnical and transport engineering
title_short Metaheuristics in water, geotechnical and transport engineering
title_sort metaheuristics in water, geotechnical and transport engineering
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2123887
work_keys_str_mv AT yangxinshe metaheuristicsinwatergeotechnicalandtransportengineering
AT gandomiamirhossein metaheuristicsinwatergeotechnicalandtransportengineering
AT talataharisiamak metaheuristicsinwatergeotechnicalandtransportengineering
AT alaviamirhossein metaheuristicsinwatergeotechnicalandtransportengineering

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