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

Authors:
Vanessa Cristina de Castilho;Mounir Khalil El Debs;Maria do Carmo Nicoletti
Affiliations:
Departamento de Engenharia de Estruturas, Escola de Engenharia de São Carlos, USP, Av. Dr. Carlos Botelho, 1465, São Carlos, SP, Brasil;Departamento de Engenharia de Estruturas, Escola de Engenharia de São Carlos, USP, Av. Dr. Carlos Botelho, 1465, São Carlos, SP, Brasil;Departamento de Computação, Universidade Federal de São Carlos, Caixa Postal 676, São Carlos, SP, Brasil
Venue:
Engineering Applications of Artificial Intelligence
Year:
2007

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Abstract

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.