عرض عادي

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.

المساهم (المساهمين):نوع المادة : نصنصالسلاسل:Elsevier insightsالناشر:Amsterdam : Elsevier, 2013الطبعات:First editionوصف:xx, 556 pages : illustrations ; 24 cmنوع المحتوى:
  • text
نوع الوسائط:
  • unmediated
نوع الناقل:
  • volume
تدمك:
  • 9780123983640
  • 0123983649
الموضوع:تصنيف مكتبة الكونجرس:
  • TA340 .M44 2013
موارد على الانترنت:ملخص: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.
المقتنيات
نوع المادة المكتبة الحالية رقم الطلب رقم النسخة حالة تاريخ الإستحقاق الباركود
كتاب كتاب UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة TA340 .M44 2013 (إستعراض الرف(يفتح أدناه)) C.1 Library Use Only | داخل المكتبة فقط 30010011142726
كتاب كتاب UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة TA340 .M44 2013 (إستعراض الرف(يفتح أدناه)) C.2 المتاح 30010011142727

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.

Includes bibliographical references and index.

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