An evolutionary system for the prediction of high performance concrete strength based on semantic genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @Article{Castelli:2017:CandC,
-
author = "Mauro Castelli and Leonardo Trujillo and
Ivo Goncalves and Ales Popovic",
-
title = "An evolutionary system for the prediction of high
performance concrete strength based on semantic genetic
programming",
-
journal = "Computers and Concrete",
-
year = "2017",
-
volume = "19",
-
number = "6",
-
pages = "651--658",
-
month = jun,
-
keywords = "genetic algorithms, genetic programming, high
performance concrete, concrete strength, local search,
semantics",
-
URL = "http://www.techno-press.org/?page=container&journal=cac&volume=19&num=6",
-
DOI = "doi:10.12989/cac.2017.19.6.651",
-
abstract = "High-performance concrete, besides aggregate, cement,
and water, incorporates supplementary cementitious
materials, such as fly ash and blast furnace slag, and
chemical admixture, such as super-plasticiser. Hence,
it is a highly complex material and modelling its
behaviour represents a difficult task. This paper
presents an evolutionary system for the prediction of
high performance concrete strength. The proposed
framework blends a recently developed version of
genetic programming with a local search method. The
resulting system enables us to build a model that
produces an accurate estimation of the considered
parameter. Experimental results show the suitability of
the proposed system for the prediction of concrete
strength. The proposed method produces a lower error
with respect to the state-of-the art technique. The
paper provides two contributions: from the point of
view of the high performance concrete strength
prediction, a system able to outperform existing
state-of-the-art techniques is defined; from the
machine learning perspective, this case study shows
that including a local searcher in the geometric
semantic genetic programming system can speed up the
convergence of the search process.",
- }
Genetic Programming entries for
Mauro Castelli
Leonardo Trujillo
Ivo Goncalves
Ales Popovic
Citations