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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 opt...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Yang, Xin-She
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Elsevier, 2012.
Edición:1st ed.
Colección:Elsevier insights.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Metaheuristics in water, geotechnical and transport engineering /  |c edited by Xin-She Yang [and others]. 
250 |a 1st ed. 
260 |a Amsterdam ;  |a Boston :  |b Elsevier,  |c 2012. 
300 |a 1 online resource (xvii, 484 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Elsevier insights 
504 |a Includes bibliographical references. 
505 0 |a pt. 1. Water resources -- pt. 2. Geotechnical engineering -- pt. 3. Transport engineering. 
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 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 latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks."--Publisher's website. 
588 0 |a Print version record. 
650 0 |a Mathematical optimization. 
650 0 |a Engineering mathematics. 
650 6 |a Optimisation math�ematique.  |0 (CaQQLa)201-0007680 
650 6 |a Math�ematiques de l'ing�enieur.  |0 (CaQQLa)201-0021991 
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650 7 |a Engineering mathematics.  |2 fast  |0 (OCoLC)fst00910601 
650 7 |a Mathematical optimization.  |2 fast  |0 (OCoLC)fst01012099 
700 1 |a Yang, Xin-She. 
776 0 8 |i Print version:  |t Metaheuristics in water, geotechnical and transport engineering.  |b 1st ed.  |d Amsterdam ; Oxford : Elsevier, �2012  |z 9780123982964  |w (OCoLC)797975112 
830 0 |a Elsevier insights. 
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