Metaheuristics in water, geotechnical and transport engineering [recurso electrónico] / edited by Xin-She Yang [and others].
Tipo de material: TextoSeries Elsevier insightsDetalles de publicación: Amsterdam ; Boston : Elsevier, 2012Edición: 1st edDescripción: 1 online resource (xvii, 484 pages) : illustrationsTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780123983176 (electronic bk.); 0123983177 (electronic bk.); 9781283619912 (MyiLibrary); 1283619911 (MyiLibrary)Tema(s): Mathematical optimization | Engineering mathematics | MATHEMATICS -- Optimization | Engineering mathematics | Mathematical optimizationGénero/Forma: Electronic books.Formatos físicos adicionales: Print version:: Metaheuristics in water, geotechnical and transport engineering.Clasificación CDD: 519.6 Clasificación LoC:QA402.5 | .M48 2013Otra clasificación: 54.10 Recursos en línea: Libro electrónico ScienceDirectTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | QA402.5 .M48 2013 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 380520-2001 |
Includes bibliographical references.
pt. 1. Water resources -- pt. 2. Geotechnical engineering -- pt. 3. 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 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.
Print version record.
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