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Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

  • Book
  • © 2015

Overview

Editors:
  1. Jorge Magalhães-Mendes

    1. Departamento de Engenharia civil, ISEP, Instituto Politecnico Porto, Porto, Portugal

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  2. David Greiner

    1. Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numericas en Ingenieria—SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

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  • Recent state of the art in evolutionary optimization methods for civil and structural engineering design
  • Applications include civil engineering, structural engineering, acoustics, construction management, mechanics, and modeling with boundary and finite element methods
  • Focused research of interest for the civil and structural engineer researcher and or practitioner
  • Includes supplementary material: sn.pub/extras

Part of the book series: Computational Methods in Applied Sciences (COMPUTMETHODS, volume 39)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
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  2. On-line Metamodel-Assisted Optimization with Mixed Variables

    • Rajan Filomeno Coelho, Manuel Herrera, Manyu Xiao, Weihong Zhang
    Pages 1-15

  3. Comparing the Fully Stressed Design and the Minimum Constrained Weight Solutions in Truss Structures

    • David Greiner, José M. Emperador, Blas Galván, Gabriel Winter
    Pages 17-32

  4. Multiobjective Approach for Time-Cost Optimization Using a Multi-mode Hybrid Genetic Algorithm

    • Jorge Magalhães-Mendes
    Pages 33-49

  5. On Efficiency Increase of Evolutionary Algorithms for Large Non-linear Constrained Optimization Problems with Applications to Mechanics

    • Janusz Orkisz, Maciej Glowacki
    Pages 51-65

  6. Lightweight Optimization for Additive Manufacturing Parts Based on Genetic Algorithms, Metamodels and Finite Element Analysis

    • Rubén Paz, Mario Monzón, Begoña González, Gabriel Winter, Fernando Ortega
    Pages 67-82

  7. Calibration of Dynamic Models of Railway Bridges Based on Genetic Algorithms

    • Diogo Ribeiro, Rui Calçada, Raimundo Delgado
    Pages 83-103

  8. A Procedure for Improving the Acoustic Efficiency of Top-Edge Devices on Noise Barriers: An Application of Genetic Algorithms and Boundary Elements

    • Rayco Toledo, Juan J. Aznárez, Orlando Maeso, David Greiner
    Pages 105-125

  9. Back Matter

    Pages 127-127
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Keywords

About this book

This book focuses on civil and structural engineering and construction management applications. The contributions constitute modified, extended and improved versions of research presented at the  minisymposium organized by the editors at the ECCOMAS conference on this topic in Barcelona 2014.

Editors and Affiliations

  • Departamento de Engenharia civil, ISEP, Instituto Politecnico Porto, Porto, Portugal

    Jorge Magalhães-Mendes

  • Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numericas en Ingenieria—SIANI, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    David Greiner

Bibliographic Information

  • Book Title: Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

  • Editors: Jorge Magalhães-Mendes, David Greiner

  • Series Title: Computational Methods in Applied Sciences

  • DOI: https://doi.org/10.1007/978-3-319-20406-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-20405-5Published: 23 July 2015

  • Softcover ISBN: 978-3-319-37321-8Published: 17 October 2016

  • eBook ISBN: 978-3-319-20406-2Published: 07 July 2015

  • Series ISSN: 1871-3033

  • Series E-ISSN: 2543-0203

  • Edition Number: 1

  • Number of Pages: X, 127

  • Number of Illustrations: 66 b/w illustrations

  • Topics: Civil Engineering, Solid Mechanics, Computational Intelligence

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