Metaheuristic applications in structures and infrastructures / edited by Amir Hossein Gandomi, Civil Engineering, The University of Akron, OH, USA, Xin-She Yang, School of Science and Technology, Middlesex University, London, UK, Siamak Talatahari, Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran, Amir Hossein Alavi, Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
Contributor(s): Gandomi, Amir Hossein [editor of compilation] | Yang, Xin-She [editor of compilation.] | Talatahari, Siamak [editor of compilation] | Alavi, Amir Hossein [editor of compilation].
Material type:
TextSeries: Elsevier insights: Publisher: Amsterdam : Elsevier, 2013Edition: First edition.Description: xx, 556 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780123983640; 0123983649.Subject(s): Engineering design -- School of Business and Education | Engineering -- School of Business and Education | Heuristic algorithmsOnline resources: Publisher description Summary: 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 commonly 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 -- Source other than Library of Congress.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Long Loan Book
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Kirinyaga University Library | LB2806.L85 2013 (Browse shelf) | Available | KYU/2021/8424 | ||
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Long Loan Book
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Kirinyaga University Library | LB2806.L85 2013 (Browse shelf) | Available | KYU/2021/8423 |
Includes bibliographical references and index.
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 commonly 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 -- Source other than Library of Congress.