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S.O. Degertekin, L. Lamberti, "Comparison of Hybrid Metaheuristic Algorithms for Truss Weight Optimization", in Y. Tsompanakis, (Editor), "Proceedings of the Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 30, 2013. doi:10.4203/ccp.103.30

Keywords: metaheuristic optimization, harmony search, big bang-big crunch, truss structures.

Summary

'Second generation' metaheuristic algorithms such as harmony search (HS) and big bang-big crunch (BB-BC) are very efficient in truss optimization problems but computationally expensive. This paper presents two hybrid formulations of HS and BB-BC where metaheuristic search is hybridized by including gradient/pseudo-gradient information as the criterion to accept or reject new trial designs or to perform new explosions. Each new trial design is formed by combining a set of descent directions and then eventually corrected to improve it further. An improved local 1D search derived from simulated annealing is also performed.

The new algorithms are tested in two weight optimization problems of truss structures:

the classical planar 200-bar truss optimized with 29 design variables; and
a large-scale space-tower with 1938 elements and 204 design variables.

Optimization results prove the efficiency and robustness of the optimization algorithms developed in the research described in this paper.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 103 PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: Y. Tsompanakis Paper 30 Comparison of Hybrid Metaheuristic Algorithms for Truss Weight Optimization S.O. Degertekin¹ and L. Lamberti² ¹Department of Civil Engineering, Dicle University, Diyarbakir, Turkey ²Dipartimento di Meccanica, Matematica e Management, Politecnico di Bari, Italy doi:10.4203/ccp.103.30 purchase the full-text of this paper Full Bibliographic Reference for this paper S.O. Degertekin, L. Lamberti, "Comparison of Hybrid Metaheuristic Algorithms for Truss Weight Optimization", in Y. Tsompanakis, (Editor), "Proceedings of the Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 30, 2013. doi:10.4203/ccp.103.30 Keywords: metaheuristic optimization, harmony search, big bang-big crunch, truss structures. Summary 'Second generation' metaheuristic algorithms such as harmony search (HS) and big bang-big crunch (BB-BC) are very efficient in truss optimization problems but computationally expensive. This paper presents two hybrid formulations of HS and BB-BC where metaheuristic search is hybridized by including gradient/pseudo-gradient information as the criterion to accept or reject new trial designs or to perform new explosions. Each new trial design is formed by combining a set of descent directions and then eventually corrected to improve it further. An improved local 1D search derived from simulated annealing is also performed. The new algorithms are tested in two weight optimization problems of truss structures: the classical planar 200-bar truss optimized with 29 design variables; and a large-scale space-tower with 1938 elements and 204 design variables. Optimization results prove the efficiency and robustness of the optimization algorithms developed in the research described in this paper. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £42 +P&P)
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