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Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management

✍ Scribed by Jorge Magalhães-Mendes, David Greiner (eds.)


Publisher
Springer International Publishing
Year
2015
Tongue
English
Leaves
132
Series
Computational Methods in Applied Sciences 39
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-x
On-line Metamodel-Assisted Optimization with Mixed Variables....Pages 1-15
Comparing the Fully Stressed Design and the Minimum Constrained Weight Solutions in Truss Structures....Pages 17-32
Multiobjective Approach for Time-Cost Optimization Using a Multi-mode Hybrid Genetic Algorithm....Pages 33-49
On Efficiency Increase of Evolutionary Algorithms for Large Non-linear Constrained Optimization Problems with Applications to Mechanics....Pages 51-65
Lightweight Optimization for Additive Manufacturing Parts Based on Genetic Algorithms, Metamodels and Finite Element Analysis....Pages 67-82
Calibration of Dynamic Models of Railway Bridges Based on Genetic Algorithms....Pages 83-103
A Procedure for Improving the Acoustic Efficiency of Top-Edge Devices on Noise Barriers: An Application of Genetic Algorithms and Boundary Elements....Pages 105-125
Back Matter....Pages 127-127

✦ Subjects


Civil Engineering; Structural Mechanics; Computational Intelligence


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