Evaluation of Recent Improvements in Harmony Search based Structural Optimization Algorithms

Saka, M. P.
Hasacebi, O.
Music-inspired harmony search algorithm is a recently developed metaheuristic technique. It has been extensively used in the development of structural optimization algorithms. Several enhancements are suggested to standard harmony search method. In this paper, firstly these improvements are summarized and later they are used to determine the optimum design of three dimensional steel frames. The design constraints are implemented according to LRFD-AISC (Load and Resistance Factor Design-American Institute of Steel Corporation) in the formulation of the optimization problem. The minimum weight is taken as objective function. Two design examples are considered to evaluate the performance of seven different versions of harmony search algorithm.


Optimum design of steel sway frames to BS5950 using harmony search algorithm
Saka, M. P. (2009-01-01)
Harmony search method based optimum design algorithm is presented for the steel sway frames. The harmony search method is a numerical optimization technique developed recently that imitates the musical performance process which takes place when a musician searches for a better state of harmony. Jazz improvisation seeks to find musically pleasing harmony similar to the optimum design process which seeks to find the optimum solution. The optimum design algorithm developed imposes the behavioral and performanc...
Comparison of non-deterministic search techniques in the optimum design of real size steel frames
Hasançebi, Oğuzhan; Doğan, E.; Erdal, F.; Saka, M.P. (Elsevier BV, 2010-9)
There is a noticeable increase in the emergence of non-deterministic search techniques that simulate natural phenomena into a numerical optimization technique in recent years. These techniques are used for developing structural optimization algorithms that are particularly effective for obtaining solutions to discrete programming problems. In this study amongst these techniques genetic algorithms, simulated annealing, evolution strategies, particle swarm optimizer, tabu search, ant colony optimization and h...
Adaptive Harmony Search Algorithm for Design Code Optimization of Steel Structures
Saka, M. P.; Hasançebi, Oğuzhan (2009-01-01)
In this chapter an improved version of harmony search algorithm called an adaptive harmony search algorithm is presented. The harmony memory considering rate and pitch adjusting rate are conceived as the two main parameters of the technique for generating new solution vectors. In the standard implementation of the technique, appropriate constant values are assigned to these parameters following a sensitivity analysis for each problem considered. The success of the optimization process is directly related to...
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...
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...
Citation Formats
M. P. Saka, İ. AYDOĞDU, and O. Hasacebi, “Evaluation of Recent Improvements in Harmony Search based Structural Optimization Algorithms,” 2010, vol. 93, p. 0, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66475.