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Published in:
Review and Applications of Metaheuristic Algorithms in Civil Engineering Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Genetic Algorithms for Optimization of 3D Truss Structures

Authors : Vedat Toğan, Ayşe Turhan Daloğlu

Published in: Metaheuristics and Optimization in Civil Engineering

Publisher: Springer International Publishing

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Abstract

Various optimization techniques have been applied to find the optimum solutions of structural design problems in the last 50 or 60 years. Simple structural optimization problems with continuous design variables have been solved initially using mathematically diverse techniques. New approaches called meta-heuristic techniques have been emerging along with the progress of traditional methods. This chapter first introduces the mathematical formulations of optimization problems and then gives a summary and development process of the preliminary techniques such as genetic algorithm (GA) in obtaining the optimum solutions. The mathematical formulations of the structural optimization problems are associated with the design variables, loads, structural responses, and constraints. Strategies are proposed to improve the performance of the technique to reduce the number of search and the size of the problem. Finally, some examples related to 3D truss structures are presented.

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previous chapter Performance-Based Optimum Seismic Design of Steel Dual Braced Frames by Bat Algorithm
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Metadata
Title
Genetic Algorithms for Optimization of 3D Truss Structures
Authors
Vedat Toğan
Ayşe Turhan Daloğlu
Copyright Year
2016
Book
Metaheuristics and Optimization in Civil Engineering

Print ISBN: 978-3-319-26243-7

Electronic ISBN: 978-3-319-26245-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-26245-1_6