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Journals / Makine Teknolojileri Elektronik Dergisi (elektronik) / 2007 / Cilt: 4 - Sayı: 2

Genetic algorithms and their application to mechanical design problems

Genetik algoritmalar ve mekanik tasarım problemleri uygulamaları

METİN ZEYVELİ
Pages
1–13
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It was seen that solutions of mechanical design problems through GA produced suitable data in addition to their analytical and numerical solutions and GA was found to produce more successful results in global optimisation.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, application methods of Genetic Algorithms (GA) one of Artificial Intelligence (AI) techniques to mechanical design problems were examined.
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Key Findings & Data:GA, which simulates the development of biological systems, is stochastic searching method.
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Conclusion & Impact:It was seen that solutions of mechanical design problems through GA produced suitable data in addition to their analytical and numerical solutions and GA was found to produce more successful results in global optimisation.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, application methods of Genetic Algorithms (GA) one of Artificial Intelligence (AI) techniques to mechanical design problems were examined. GA, which simulates the development of biological systems, is stochastic searching method. In the reviewed studies, purposes for application of GA to mechanical design problems, mathematical models fulfilling these purposes and design variations in these models were examined. The advantages and disadvantages ere tried to be determined. The similarities and differences in the performed studies were examined. The advantages and disadvantages of these in mechanical design problems were tried to be determined. It was seen that solutions of mechanical design problems through GA produced suitable data in addition to their analytical and numerical solutions and GA was found to produce more successful results in global optimisation.

Özet

Bu çalısmada Yapay Zeka (YZ) tekniklerinden bir tanesi olan Genetik Algoritmalar’ın (GA), mekanik tasarım problemlerine uygulanma yöntemleri incelenmistir. GA’lar biyolojik sistemlerin gelisim sürecini simüle eden bir stokastik arama yöntemidir. Arastırılan çalısmalarda GA’nın mekanik tasarım problemlerine uygulanmasında ki amaçlar, bu amaçları sağlayacak matematiksel modeller ve bu modellerde kullanılan tasarım değiskenleri incelenmistir. Yapılan çalısmalardaki farklılıklar ve benzerlikler incelenmistir. Bunların mekanik tasarım problemlerinde sağladığı avantaj ve dezavantajlar belirlenmeye çalısılmıstır. Mekanik tasarım problemlerinin analitik veya sayısal analiz çözümlerinin yanında GA ile yapılan çözümlerinde uygun veriler elde edildiği görülmüs ve global optimizasyon da GA’nın daha basarılı çözümler bulduğu saptanmıstır.

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Cite This Article

ZEYVELİ, M. (2007). Genetic algorithms and their application to mechanical design problems. Makine Teknolojileri Elektronik Dergisi (elektronik), Cilt: 4 - Sayı: 2, 1–13. https://ajindex.com/articles/282139

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