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Journals / Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2026 / Cilt: 23 Sayı: 2

Parameter Analysis of Bacterial Foraging Optimization Algorithm for Least Weight Design of Truss Structures

En Hafif Kafes Yapı Tasarımı için Bakteri Yiyecek Arama Optimizasyon Algoritmasının Parametre Analizi

Burak Kaymak(KÜTAHYA DUMLUPINAR ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)0000-0002-1318-0456
Pages
300–314
Publication Date
2019-08-25
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AI Summary & Key Takeaways

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

Additionally, it is recommended to change the step length parameter, which greatly influences the results depending on the reproduction numbers rather than using a constant value from the beginning to end.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The problem of obtaining the least weight design of truss structures with a fixed topology is an optimization where the cross-sectional areas are determined.
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Key Findings & Data:It is seen that the coefficient of variation of the analysis results using the parameters obtained at the end of the study was below 0.7%.
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Conclusion & Impact:Additionally, it is recommended to change the step length parameter, which greatly influences the results depending on the reproduction numbers rather than using a constant value from the beginning to end.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bakteri yiyecek arama optimizasyonu · Parametre analizi · Optimum tasarım

Abstract

The problem of obtaining the least weight design of truss structures with a fixed topology is an optimization where the cross-sectional areas are determined. In order to solve the optimization problem, bacterial foraging optimization algorithm which is one of the swarm-based methods is chosen. In this work it is studied that which parameters should be chosen for successful application of the algorithm in the solution of the least weight design of truss structures. The parameters of the algorithm are collected in dual groups and their effects are investigated. Additionally, it is recommended to change the step length parameter, which greatly influences the results depending on the reproduction numbers rather than using a constant value from the beginning to end. At the end, the appropriate parameters are determined for least weight truss design problems. Since swarm-based optimization methods start at random points, the results obtained at the end of each run differs. The proximity of the results to be obtained is an indicator of the stability of the algorithm. It is seen that the coefficient of variation of the analysis results using the parameters obtained at the end of the study was below 0.7%. The bacterial foraging optimization algorithm parameters obtained in this study show that these parameters can be used for least weight truss structure design.

Özet

Topolojisi belirli kafes yapıların en hafif tasarımının elde edilmesi problemi kesit alanlarının belirlenmesine yönelik bir optimizasyon problemidir. Optimizasyon probleminin çözümünde sürü tabanlı yöntemlerden olan bakteri yiyecek arama optimizasyon algoritması tercih edilmiştir. Bu algoritmanın en hafif kafes yapı tasarımı problemlerinin çözümünde başarı ile kullanması için seçilmesi gereken parametrelerin neler olması gerektiği üzerine çalışılmıştır. Algoritmanın parametreleri ikili gruplar halinde değiştirilerek sonuca etkileri araştırılmıştır. Ek olarak algoritmadan alınacak sonuca büyük oranda etki eden adım uzunluğu parametresinin seçiminde baştan sona sabit bir değer kulanılması yerine üreme sayılarına bağlı olarak değiştirilmesi önerilmektedir. Elde edilen bulgular sonunda en hafif kafes tasarımı problemleri için uygun parametreler belirlenmiştir. Sürü tabanlı optimizasyon yöntemleri rastgele noktalardan başladıklarından her çalıştırma sonunda elde edilen sonuçlar da farklılık göstermektedir. Elde edilecek sonuçların birbirine olan yakınlığı algoritmanın kararlılığının bir göstergesidir. Çalışma sonunda ortaya çıkan parametreler kullanılarak üç örnek problem üzerinde yapılan analiz sonuçlarının varyasyon katsayılarının %0.7'nin altında olduğu görülmüştür. Bu çalışmada elde edilen bakteri yiyecek arama optimizasyon algoritması parametrelerinin en hafif kafes yapı tasarımı problemlerinde kullanılabilir olduğunu göstermektedir.

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Cite This Article

Kaymak, B. (2019). Parameter Analysis of Bacterial Foraging Optimization Algorithm for Least Weight Design of Truss Structures. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 23 Sayı: 2, 300–314. https://doi.org/10.19113/sdufenbed.548654

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