Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54259
Title: Optimising frame structures by different strategies of genetic algorithms
Authors: Greiner, D. 
Winter, G. 
Emperador, J. M. 
UNESCO Clasification: 1206 Análisis numérico
Issue Date: 2001
Publisher: 0168-874X
Journal: Finite Elements in Analysis and Design 
Abstract: Two frame structure optimisation problems are handled. Firstly, the constrained minimum-mass problem, for which both continuous and discrete cases with ideal (without buckling effect and its own gravitational load) and real (with buckling effect and its own gravitational load) models are solved with several types of genetic algorithms. Results for the continuous case (ideal model) are compared with referenced solutions of traditional optimisation methods. From state of the art, the chosen strategies include a generational genetic algorithm, a steady-state genetic algorithm and the CHC algorithm. Moreover, we suggest one elitist strategy linked to the non-dominated sorting genetic algorithm (NSGA) to solve the multiobjective problem of minimising simultaneously the number of different cross-section types and the mass with several constraints. (C) 2001 Elsevier Science B.V. All rights reserved.
URI: http://hdl.handle.net/10553/54259
ISSN: 0168-874X
DOI: 10.1016/S0168-874X(00)00054-8
Source: Finite Elements in Analysis and Design[ISSN 0168-874X],v. 37, p. 381-402
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