A comparison of simulated annealing and genetic algorithm for optimum design of nonlinear steel space frames

2007 ◽  
Vol 34 (4) ◽  
pp. 347-359 ◽  
Author(s):  
S. O. Degertekin
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Optimum Design ◽  
Space Frames ◽  
Steel Space Frames

Optimum design of steel space frames including soil-structure interaction

2016 ◽  
Vol 54 (1) ◽  
pp. 117-131 ◽  
Author(s):  
Ayse T. Daloglu ◽  
Musa Artar ◽  
Korhan Özgan ◽  
Ali İ. Karakas
Keyword(s):  
Optimum Design ◽  
Soil Structure ◽  
Soil Structure Interaction ◽  
Structure Interaction ◽  
Space Frames ◽  
Steel Space Frames

Tabu search based optimum design of geometrically non-linear steel space frames

2007 ◽  
Vol 27 (5) ◽  
pp. 575-588 ◽  
Author(s):  
S.O. Degertekin ◽  
M.S. Hayalioglu ◽  
M. Ulker
Keyword(s):  
Tabu Search ◽  
Optimum Design ◽  
Space Frames ◽  
Non Linear ◽  
Steel Space Frames

scholarly journals Optimum Design of Braced Steel Space Frames including Soil-Structure Interaction via Teaching-Learning-Based Optimization and Harmony Search Algorithms

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Ayse T. Daloglu ◽  
Musa Artar ◽  
Korhan Ozgan ◽  
Ali İ. Karakas
Keyword(s):  
Optimum Design ◽  
Soil Structure ◽  
Harmony Search ◽  
Soil Structure Interaction ◽  
Structure Interaction ◽  
Space Frames ◽  
Foundation Model ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
Steel Space Frames

Optimum design of braced steel space frames including soil-structure interaction is studied by using harmony search (HS) and teaching-learning-based optimization (TLBO) algorithms. A three-parameter elastic foundation model is used to incorporate the soil-structure interaction effect. A 10-storey braced steel space frame example taken from literature is investigated according to four different bracing types for the cases with/without soil-structure interaction. X, V, Z, and eccentric V-shaped bracing types are considered in the study. Optimum solutions of examples are carried out by a computer program coded in MATLAB interacting with SAP2000-OAPI for two-way data exchange. The stress constraints according to AISC-ASD (American Institute of Steel Construction-Allowable Stress Design), maximum lateral displacement constraints, interstorey drift constraints, and beam-to-column connection constraints are taken into consideration in the optimum design process. The parameters of the foundation model are calculated depending on soil surface displacements by using an iterative approach. The results obtained in the study show that bracing types and soil-structure interaction play very important roles in the optimum design of steel space frames. Finally, the techniques used in the optimum design seem to be quite suitable for practical applications.

Development of Global Optimization Method for Design of Turbine Stages

2005 ◽  
Author(s):  
Hiroyuki Kawagishi ◽  
Kazuhiko Kudo
Keyword(s):  
Genetic Algorithm ◽  
Global Optimization ◽  
Simulated Annealing ◽  
Optimum Design ◽  
Optimization Method ◽  
Global Optimum ◽  
Global Optimization Method ◽  
Optimum Solution ◽  
Global Optimum Solution ◽  
Number Of Iterations

A new optimization method which can search for the global optimum solution and decrease the number of iterations was developed. The performance of the new method was found to be effective in finding the optimum solution for single- and multi-peaked functions for which the global optimum solution was known in advance. According to the application of the method to the optimum design of turbine stages, it was shown that the method can search the global optimum solution at approximately one seventh of the iterations of GA (Genetic Algorithm) or SA (Simulated Annealing).

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