Fuzzy genetic algorithm for steel construction optimisation-Reference-Cited by-同舟云学术

Fuzzy genetic algorithm for steel construction optimisation

Published:2012-03 Issue:1 Volume:165 Page:67-73
ISSN:1755-0777
Container-title:Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics
language:en
Short-container-title:Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics

Author:

Ćirović Goran¹,Mitrović Snežana¹

Affiliation:

1. College of Civil Engineering and Geodesy, Belgrade, Serbia

Abstract

Modern optimisation problems in the construction industry require solutions in terms of savings in materials, energy, cost, time and disposable resources. An optimisation process based on a fuzzy genetic algorithm combined with Lagrange multipliers is carried out on a model of a multi-storey plane frame consisting of 55 elements. Through detailed analysis of the construction and its elements, it was possible to form a conceptual framework for optimal planning in design.

Publisher

Thomas Telford Ltd.

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.icevirtuallibrary.com/doi/pdf/10.1680/eacm.2012.165.1.67

Reference29 articles.

1. Advances in Design Optimization

2. Integrated Genetic Algorithm for Optimization of Space Structures

3. Augmented Lagrangian Genetic Algorithm for Structural Optimization

4. Concurrent Genetic Algorithms for Optimization of Large Structures

5. Cost Optimization of Structures

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1. Editorial;Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics;2012-03