Applications of Computational Intelligence in Behavior Simulation of Concrete Materials
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InCollection{Gandomi:2011:COAEI,
-
author = "Amir Hossein Gandomi and Amir Hossein Alavi",
-
title = "Applications of Computational Intelligence in Behavior
Simulation of Concrete Materials",
-
booktitle = "Computational Optimization and Applications in
Engineering and Industry",
-
editor = "Xin-She Yang and Slawomir Koziel",
-
year = "2011",
-
volume = "359",
-
series = "Studies in Computational Intelligence",
-
chapter = "9",
-
pages = "221--243",
-
publisher = "Springer",
-
keywords = "genetic algorithms, genetic programming",
-
isbn13 = "978-3-642-20985-7",
-
DOI = "doi:10.1007/978-3-642-20986-4_9",
-
abstract = "The application of Computational Intelligence (CI) to
structural engineering design problems is relatively
new. This chapter presents the use of the CI
techniques, and specifically Genetic Programming (GP)
and Artificial Neural Network (ANN) techniques, in
behaviour modelling of concrete materials. We first
introduce two main branches of GP, namely Tree-based
Genetic Programming (TGP) and Linear Genetic
Programming (LGP), and two variants of ANNs, called
Multi Layer Perceptron (MLP) and Radial Basis Function
(RBF). The simulation capabilities of these techniques
are further demonstrated by applying them to two
conventional concrete material cases. The first case is
simulation of concrete compressive strength using mix
properties and the second problem is prediction of
elastic modulus of concrete using its compressive
strength.",
- }
Genetic Programming entries for
A H Gandomi
A H Alavi
Citations