Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Harmony search algorithms in structural engineering
Date
2011-08-08
Author
Saka, M.P.
Aydogdu, I.
Hasançebi, Oğuzhan
Geem, Z.W.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
260
views
0
downloads
Cite This
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 adaptive harmony search where the harmony search parameters are adjusted automatically during design iterations. Coelho has proposed improved harmony search method. He suggested an expression for one of the parameters of standard harmony search method. In this chapter, the optimum design problem of steel space frames is formulated according to the provisions of LRFD-AISC (Load and Resistance Factor Design-American Institute of Steel Corporation): The weight of the steel frame is taken as the objective function to be minimized. Seven different structural optimization algorithms are developed each of which are based on one of the above mentioned versions of harmony search method. Three real size steel frames are designed using each of these algorithms. The optimum designs obtained by these techniques are compared and performance of each version is evaluated.
Subject Keywords
Structural Optimization
,
Metaheuristic Techniques
,
Harmony Search Algorithm
URI
https://hdl.handle.net/11511/48701
Journal
Studies in Computational Intelligence
DOI
https://doi.org/10.1007/978-3-642-20986-4_6
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Improving the performance of simulated annealing in structural optimization
Hasançebi, Oğuzhan; Saka, Mehmet Polat (2010-03-01)
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 ...
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...
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...
Optimum topological design of geometrically nonlinear single layer lamella domes using harmony search method
Çarbaş, Serdar; Saka, Mehmet Polat; Department of Engineering Sciences (2008)
Harmony search method based optimum topology design algorithm is presented for single layer lamella domes. 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 ...
Adaptive dimensional search: A new metaheuristic algorithm for discrete truss sizing optimization
Hasançebi, Oğuzhan (2015-07-01)
In the present study a new metaheuristic algorithm called adaptive dimensional search (ADS) is proposed for discrete truss sizing optimization problems. The robustness of the ADS lies in the idea of updating search dimensionality ratio (SDR) parameter online during the search for a rapid and reliable convergence towards the optimum. In addition, several alternative stagnation-control strategies are integrated with the algorithm to escape from local optima, in which a limited uphill (non-improving) move is p...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. P. Saka, I. Aydogdu, O. Hasançebi, and Z. W. Geem, “Harmony search algorithms in structural engineering,”
Studies in Computational Intelligence
, pp. 145–182, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48701.