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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 89
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: M. Papadrakakis and B.H.V. Topping
Paper 83
An ANGEL Heuristic Method for Combined Shaping and Sizing Optimization of Bridges A. Csébfalvi
Department of Structural Engineering, University of Pécs, Hungary , "An ANGEL Heuristic Method for Combined Shaping and Sizing Optimization of Bridges", in M. Papadrakakis, B.H.V. Topping, (Editors), "Proceedings of the Sixth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 83, 2008. doi:10.4203/ccp.89.83
Keywords: ANGEL heuristic method, simultaneous sizing-shaping optimization, steel bridges.
Summary
In this paper a new hybrid metaheuristic ANGEL algorithm is presented for
continuous and discrete optimization of steel bridges with combined sizing and
shaping variables. The ANGEL
algorithm combines ant colony optimization (ACO), genetic algorithm (GA), and
local search (LS) strategy. The main procedure of ANGEL follows the repetition of
these two steps: (1) ACO with LS and (2) GA with LS. The initial population is a
totally random design set. In other words, firstly ANGEL generates an initial
population, after that, in an iterative process ACO and GE search alternately and
cooperatively on the current design set. According to the systematic simplification,
the algorithm consists of only three basic operators: random selection, random
perturbation (ACO), and random combination (GA). The proposed method has been
presented first time for space trusses [1] and later extended for sensitivity analysis of
shallow dome structures [2], and shaping and sizing problems of space trusses [3].
The shaping and sizing optimization of steel bridges where the design variables are the cross-sections and nodal coordinates is very complex problem. The different nature of the design variables usually causes unacceptable numerical instability for a single optimization algorithm. To solve this problem it is necessary to adequately combine different optimization algorithms, depending on the different types of design variables of the problem. The separate treatment of the two kinds of design variables is not an obligation but a simplification. In this paper, the discrete solutions are computed by an optimal rounding algorithm according to the given catalogue values. A simple but efficient local search procedure is proposed as well, which is able to improve the quality of the discrete solutions. Experimental results are presented for shaping and sizing optimization of steel bridges. References
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