Volume 10, Issue 2 (4-2020)                   2020, 10(2): 345-363 | Back to browse issues page

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Sheikhi Azqandi M, Arjmand M. A NOVEL FUZZY MULTI-OBJECTIVE ENHANCED TIME EVOLUTIONARY OPTIMIZATION FOR SPACE STRUCTURES. International Journal of Optimization in Civil Engineering. 2020; 10 (2) :345-363
URL: http://ijoce.iust.ac.ir/article-1-438-en.html
Abstract:   (1721 Views)
This research presents a novel design approach to achieve an optimal structure established upon multiple objective functions by simultaneous utilization of the Enhanced Time Evolutionary Optimization method and Fuzzy Logic (FLETEO). For this purpose, at first, modeling of the structure design problem in this space is performed using fuzzy logic concepts. Thus, a new problem creates with functions and constraints regarding the design in fuzzy space as well as membership functions corresponded to every single of them. Then, the problem is solved by means of the Enhanced Time Evolutionary Optimization method (ETEO), eventually, based on the acquired results, the values of optimal design variables are obtained in the main problem. In the current paper, to validate the proposed approach and evaluate its performance, the optimal design of several standard structures has been carried out. Comparing the acquired results and previous ones is an indication of the high power of the proposed method in finding the best possible design with high convergence speed and deprived of contravening the constraints governing the problems.
Full-Text [PDF 1141 kb]   (107 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2020/03/21 | Accepted: 2020/03/21 | Published: 2020/03/21

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