Yapay Alg Algoritmasının Tasarım Optimizasyon Problemlerindeki Performansı Üzerine Bir Çalışma: Basınç Yayı Örneği

Year 2018, Volume: 11 Issue: 4, 349 - 355, 30.10.2018

Ümit Atila , Murat Dorterler , İsmail Şahin

https://doi.org/10.17671/gazibtd.452992

Abstract

- Makine elemanlarının
optimum tasarımı mühendislikte yaygın olarak çalışılan bir araştırma konusudur.
Basınç yaylarının minimum ağırlığa veya hacme göre tasarımını bu alanda en çok
çalışılan problemlerden birisidir. Bu problem ayrıca optimizasyon yöntemleri
için değerlendirme problemi olarak kullanılmaktadır. Yapay Alg Algoritması
(YAA)  bir optimizasyon yöntemidir ve besin
üretmek için ihtiyaç duydukları maddelere erişmek üzere ortam şartlarına uyumda
doğal bir yeteneğe sahip alglerin davranışlarından esinlenmiştir. Bu çalışmada,
basınç yaylarının minimum hacme göre tasarımı YAA ile optimize edilmiştir ve YAA’nın
problem üzerindeki başarımı incelenmiştir. YAA’nın başarımı daha önceki
çalışmalarda probleme uygulanmış optimizasyon yöntemleri ile
karşılaştırılmıştır. Deneysel çalışmalar YAA’nın tasarım optimizasyon
problemini tutarlı ve düşük yakınsama oranıyla birlikte başarıyla çözme
yeteneğinin olduğunu göstermiştir. 

Keywords

Yapay alg algoritması, tasarım optimizasy, basınç yayı

A Study on the Performance of Artificial Alg Algorithm in Design Optimization Problems: Compressing Spring Example

Abstract

Optimal design of machine elements is a research field studying in
engineering commonly. Design of compression springs according to minimum weight
or volume is one of the most studied problems in this field. The problem is
also used as a benchmark problem for the optimization methods. Artificial Algae
Algorithm (AAA) is an optimization technique and inspired by the behaviors of
algae, which have natural skill of adaptation to environmental conditions in
order to obtain substances which they need to produce nutrients. In this study,
the design of compression springs with minimum volume was optimized through AAA
and performance of AAA on the problem was examined.  Performance of AAA were compared with the
results of the optimization methods applied to the problem in previous studies.
Experimental results show that AAA is capable of solving the design
optimization problem successively with consistency and low convergence rate.

Keywords

Artificial Algea Algorithm, design optimization, compression spring

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