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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: نوع المادة : نصنصالسلاسل: Elsevier insightsالناشر: Amsterdam : Elsevier, 2013الطبعة: First editionالوصف: xx, 556 pages : illustrations ; 24 cmردمك:
  • 9780123983640
  • 0123983649
الموضوع: تصنيف ديوي العشري:
  • 621.3  23
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.
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المقتنيات
نوع المادة المكتبة الحالية رقم الاستدعاء رقم النسخة حالة تاريخ الاستحقاق الباركود
كتاب المكتبة المركزية 621.3 (استعراض الرف(يفتح أدناه)) 1 Not For Loan 070083791
كتاب المكتبة المركزية 621.3 (استعراض الرف(يفتح أدناه)) 2 المتاح 070083792
كتاب المكتبة المركزية 621.3 (استعراض الرف(يفتح أدناه)) 3 المتاح 070083793
كتاب المكتبة المركزية 621.3 (استعراض الرف(يفتح أدناه)) 4 المتاح 070083794

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.

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