Improving the performance of simulated annealing in structural optimization

Date

2010-03-01

Author

Hasançebi, Oğuzhan
Saka, Mehmet Polat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

261
views

0
downloads

This study aims at improving the performance of simulated annealing (SA) search technique in real-size structural optimization applications with practical design considerations. It is noted that a standard SA algorithm usually fails to produce acceptable solutions to such problems associated with its poor convergence characteristics and incongruity with theoretical considerations. In the paper novel approaches are developed and incorporated into the standard SA algorithm to eliminate the observed drawbacks of the technique. The performance of the resulting (improved) algorithm is investigated in conjunction with two numerical examples (a 304-member braced planar steel frame, and 132-member unbraced space steel frame) designed according to provisions of the Allowable Stress Design (ASD) specification. In both examples, curves showing the variation of average acceptance probability parameter in standard and improved algorithms are plotted to verify usefulness and robustness of the integrated approaches.

Subject Keywords

Structural optimization, Steel frameworks, Simulated annealing, Metaheuristic search techniques, Discrete optimization

URI

https://hdl.handle.net/11511/43132

Journal

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

DOI

https://doi.org/10.1007/s00158-009-0418-9

Collections

Department of Civil Engineering, Article

Suggestions

OpenMETU
Core

Harmony search algorithms in structural engineering Saka, M.P.; Aydogdu, I.; Hasançebi, Oğuzhan; Geem, Z.W. (2011-08-08) Harmony search method is widely applied in structural design optimization since its emergence. These applications have shown that harmony search algorithm is robust, effective and reliable optimization method. Within recent years several enhancements are suggested to improve the performance of the algorithm. Among these Mandavi has presented two versions of harmony search methods. He named these as improved harmony search method and global best harmony search method. Saka and Hasancebi (2009) have suggested...
Improving Computational Efficiency of Bat-Inspired Algorithm in Optimal Structural Design Hasançebi, Oğuzhan (2015-07-01) Bat-inspired (BI) algorithm is a recent metaheuristic optimization technique that simulates echolocation behavior of bats in seeking a design space. Along the same line with almost all metaheuristics, this algorithm also entails a large number of time-consuming structural analyses in structural design optimization applications. This study is focused on improving computational efficiency of the BI algorithm in optimum structural design. The number of structural analyses required by BI algorithm in the course...
Optimizing Single-Span Steel Truss Bridges with Simulated Annealing Hasançebi, Oğuzhan (2010-11-01) This study presents applications of a simulated annealing integrated solution algorithm to the optimum design of single-span steel truss bridges subjected to gravity loadings. In the optimum design process of a bridge the members are sized simultaneously as the coordinates of the upper chord nodes are determined such that the least design weight is attained for the structure. The design constraints and limitations are imposed in accordance with serviceability and strength provisions of ASD-AISC (Allowable S...
A reformulation of the ant colony optimization algorithm for large scale structural optimization Hasançebi, Oğuzhan; Saka, M.p. (2011-01-01) This study intends to improve performance of ant colony optimization (ACO) method for structural optimization problems particularly with many design variables or when design variables are chosen from large discrete sets. The algorithm developed with ACO method employs the so-called pheromone scaling approach to overcome entrapment of the search in a poor local optimum and thus to recover efficiency of the method for large-scale optimization problems. Besides, a new formulation is proposed for the local upda...
Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures Hasançebi, Oğuzhan; Dogan, E.; Erdal, F.; Saka, M. P. (2009-03-01) In recent years a number of metaheuristic search techniques have been widely used in developing structural optimization algorithms. Amongst these techniques are genetic algorithms, simulated annealing, evolution strategies, particle swarm optimizer, tabu search, ant colony optimization and harmony search. The primary goal of this paper is to objectively evaluate the performance of abovementioned seven techniques in optimum design of pin jointed structures. First, a verification of the algorithms used to imp...

Citation Formats

O. Hasançebi and M. P. Saka, “Improving the performance of simulated annealing in structural optimization,” STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, pp. 189–203, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43132.