Yeni Bir Hibrid Metasezgisel Algoritma İle Drone Kolunun Yapısal Optimizasyonu

Bu araştırmada, insansız hava taşıtlarından bir drone’a ait taşıyıcı kolu optimize etmek için yeni bir hibrit INFO-benzetimli tavlama algoritması (HINFO-BT) geliştirilmiş ve yeni geliştirilen yöntem şekil optimizasyonunda kullanılmıştır. Tasarımın ana amacı, stres kısıtlamalarını ihlal etmeden drone kolunun topoloji ve şekil optimizasyonu ile parça ağırlığı minimize etmektir. Şekil optimizasyonunda amaç ve kısıt fonksiyonlarının denklemlerini elde etmek için hem Latin hiperküp örnekleme metodolojisi hem de kriging meta-modelleme yaklaşımı kullanılmıştır. Optimal tasarım, tüm problem kısıtlarını karşılamakta ve drone kolunun başlangıç tasarımına göre ağırlığı %24.8 azalmıştır. Bu sonuçlar şekil optimizasyonu için önerilen yönteminin üstünlüğünü göstermektedir.

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