Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54376
Title: Single and multiobjective frame optimization by evolutionary algorithms and the auto-adaptive rebirth operator
Authors: Greiner, David 
Emperador, José María 
Winter, Gabriel 
UNESCO Clasification: 1206 Análisis numérico
Keywords: Evolutionary algorithms
Structural optimization
Multiobjective optimization
Frames
Rebirth
Issue Date: 2004
Publisher: 0045-7825
Journal: Computer Methods in Applied Mechanics and Engineering 
Abstract: The constrained minimum-mass problem of middle-size frames is taken into account, for both continuous and discrete cases with ideal (without buckling effect and own gravitational load) and real (with both) models, comparing three strategies of evolutionary algorithms. Some proposals to obtain appropriate results in middle-sized frames are exposed: optimization considerations about coding and structure; and the introduction of the auto-adaptive rebirth operator. Moreover, the introduction in the initial population of high quality single-optimization solutions obtained via the auto-adaptive rebirth operator is proposed as a way to improve the final non-dominated fronts obtained in structural frame multicriteria optimization (number of different cross-section types as second criteria). The results through three test cases (55–35 bar-sized) show the advantageous use of the auto-adaptive rebirth operator in frame optimization.
URI: http://hdl.handle.net/10553/54376
ISSN: 0045-7825
DOI: 10.1016/j.cma.2004.02.001
Source: Computer Methods in Applied Mechanics and Engineering [ISSN 0045-7825], v. 193, p. 3711-3743
Appears in Collections:Artículos
Show full item record

SCOPUSTM   
Citations

33
checked on Sep 12, 2021

WEB OF SCIENCETM
Citations

25
checked on Sep 12, 2021

Page view(s)

48
checked on Sep 11, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.