Değiştirilmiş Karınca Kolonisi Optimizasyon Algoritması ile Redüktör Tasarımının Simülasyonu

Öz

Bu makale, değiştirilmiş karınca kolonisi optimizasyonu (DEKKO) algoritmasının redüktör mühendislik probleminin çözümüne yeniden odaklanılmasına dayanmaktadır. DEKKO, Karınca Kolonisi Algoritmasının (KKO) avantajlı özelliklerinin birleştirilmesiyle oluşturulmuştur.DEKKO ile KKO ’da değişiklik yapılarak daha önceden literatürde farklı tekniklerle yapılan çalışmalardan daha iyi sonuçların elde edilmesi amaçlanmıştır. Algoritma, en etkili sonuç elde edilene kadar 20 kez çalıştırılmıştır. İterasyon sayısı 14 olmak üzere en iyi performans sonucu olarak 3105,8779 sonucu elde edilmiştir. Bu işlem, algoritmada 100 adet karınca kullanılarak 66,81saniyede tamamlanmıştır. Literatürdeki sonuçlarla karşılaştırıldığında DEKKO, literatür sonuçları arasında olduğu ve başarılı bir çözümle sonuçlandığı gözlemlenmiştir. Kullanıcılar, DEKKO algoritmasını kullanarak simülasyon yoluyla redüktör tasarımı ve ön üretim hakkında kolaylıkla bilgi edinebilmektedir. Böylelikle maliyet ve zaman tasarrufun açısından kullanıcılara katkıda bulunulması amaçlanmıştır.

Anahtar Kelimeler

• Karınca Kolonisi
• Mühendislik Tasarımı
• MATLAB
• Optimizasyon
• Redüktör Tasarımı

Simulation of Speed Reducer Design with the Modified Ant Colony Optimization Algorithm

Öz

This paper focuses on the innovative application of the Modified Ant Colony Optimization (DEKKO) algorithm for the optimization of speed reducer engineering problem. The main contribution of this study is the development of DEKKO, which combines the advantageous features of Ant Colony Algorithm (KKO). The aim of DEKKO is to achieve better results than those previously solved with different techniques in the literature by modifying KKO. The algorithm was run 20 times until the most effective result was achieved, with the best performance outcome of 3105. 8779 obtained at 14 iterations. This process utilized 100 ants and was completed in 66.81 seconds. When compared with similar results in the literature, DEKKO has achieved success with a solution that stands out among the literature results. Users can easily obtain information about Welded beam design and pre-production through simulation using the DEKKO algorithm. This aims to contribute to cost and time savings.

Anahtar Kelimeler

• Ant Colony
• Engineering Design
• MATLAB
• Optimization
• Speed Reducer Design

Kaynakça

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