Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists

Autor:	Mounir Khalil El Debs, Maria do Carmo Nicoletti, Vanessa Cristina de Castilho
Rok vydání:	2007
Předmět:	business.industry Computer science Structural engineering Function (mathematics) law.invention Prestressed concrete Artificial Intelligence Control and Systems Engineering law Precast concrete Genetic algorithm Production (economics) Electrical and Electronic Engineering business
Zdroj:	Engineering Applications of Artificial Intelligence. 20:519-530
ISSN:	0952-1976
DOI:	10.1016/j.engappai.2006.09.003
Popis:	Genetic algorithms (GAs) are search methods that have been successfully applied to a variety of tasks. This paper describes the use of a modified GA as an optimization method in structural engineering for minimizing the production costs of slabs using precast prestressed concrete joists. The work initially identifies and describes the multiple costs involved in the production of these slabs and then combines them into a function subjected to 28 equality and inequality constraints. The experiments conducted address the minimization of this function using GA, where constraints are treated using a penalty technique. In addition, results obtained with a conventional optimization method are presented, for comparison.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0ccf00db56020507186895a9cfe42e59 https://doi.org/10.1016/j.engappai.2006.09.003 Zobrazit plný text záznamu Full Text from ScienceDirect