Applications of Computational Intelligence in Behavior Simulation of Concrete Materials

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@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