Treffer: Rank-based ant colony algorithms for truss weight minimization with discrete variables

Title:
Rank-based ant colony algorithms for truss weight minimization with discrete variables
Source:
Ibero-Latin American Conference on Computational Methods in Engineering (CILAMCE 2005)Communications in numerical methods in engineering. 23(6):553-575
Publisher Information:
Chichester: Wiley, 2007.
Publication Year:
2007
Physical Description:
print, 19 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Laboratório Nacional de Computação Cientifica -LNCC/MCT, Av. Getùlio Vargas, 333. Quitandinha, CEP 25651-075, Petrópolis RJ, Brazil
Faculdade de Engenharia, Departamento de Estruturas Campus Universitário, Universidade Federal de Juiz de Fora, Bairro Martelos, CEP 36036-330, Juiz de Fora, MG, Brazil
ISSN:
1069-8299
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Physics: solid mechanics
Accession Number:
edscal.18829468
Database:
PASCAL Archive

Weitere Informationen

One variant of the ant colony optimization (ACO) metaheuristic, known as rank-based ant system (RBAS), is proposed for weight minimization of structures involving discrete design variables. Stress and displacements constraints are handled using a penalty technique, and the structural analysis is performed by the finite element method. Results obtained for several discrete weight minimization problems show that the RBAS algorithm implemented is effective and competitive when compared with results found by genetic algorithms and another RBAS variant.