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Metaheuristic applications in struct...

Alavi, Amir Hossein.

Metaheuristic applications in structures and infrastructures[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	620.00151964
書名/作者:	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.
其他作者:	Gandomi, Amir Hossein.
出版者:	Amsterdam : : Elsevier,, 2013.
面頁冊數:	xx, 556 p. : : ill. ;; 24 cm.
附註:	Includes bibliographical references and index.
標題:	Engineering design - Mathematical models.
標題:	Engineering - Statistical methods.
標題:	Heuristic algorithms.
ISBN:	9780123983640 (electronic bk.)
ISBN:	9780123983640
摘要、提要註:	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 --
電子資源:	http://www.sciencedirect.com/science/book/9780123983640

Metaheuristic applications in structures and infrastructures[electronic resource] /
Metaheuristic applications in structures and infrastructures[electronic resource] /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. - 1st ed. - Amsterdam :Elsevier,2013. - xx, 556 p. :ill. ;24 cm. - Elsevier insights. - Elsevier insights..

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 --

ISBN: 9780123983640 (electronic bk.)

LCCN: 2012554289Subjects--Topical Terms:

461248
Engineering design
--Mathematical models.

LC Class. No.: TA340 / .M44 2013

Dewey Class. No.: 620.00151964

Metaheuristic applications in structures and infrastructures[electronic resource] /
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245 0 0 $a Metaheuristic applications in structures and infrastructures $h [electronic resource] / $c 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.
250 $a 1st ed.
260 $a Amsterdam : $b Elsevier, $c 2013.
300 $a xx, 556 p. : $b ill. ; $c 24 cm.
490 1 $a Elsevier insights
500 $a Includes bibliographical references and index.
520 $a 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 -- $c Source other than Library of Congress.
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650 0 $a Engineering $x Statistical methods. $3 452646
650 0 $a Heuristic algorithms. $3 481063
700 1 $a Gandomi, Amir Hossein. $3 573219
700 1 $a Yang, Xin-She. $3 554106
700 1 $a Talatahari, Siamak. $3 573220
700 1 $a Alavi, Amir Hossein. $3 573221
830 0 $a Elsevier insights. $3 443071
856 4 0 $u http://www.sciencedirect.com/science/book/9780123983640

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