Optimization of multi-pass turning operations using hybrid teaching learning-based approach
Küçük Resim Yok
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer London Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents a novel hybrid optimization approach based on teaching-learning based optimization (TLBO) algorithm and Taguchi's method. The purpose of the present research is to develop a new optimization approach to solve optimization problems in the manufacturing area. This research is the first application of the TLBO to the optimization of turning operations in the literature The proposed hybrid approach is applied to two case studies for multi-pass turning operations to show its effectiveness in machining operations. The results obtained by the proposed approach for the case studies are compared with those of particle swarm optimization algorithm, hybrid genetic algorithm, scatter search algorithm, genetic algorithm and integration of simulated annealing, and Hooke-Jeeves patter search.
Açıklama
Anahtar Kelimeler
Hybrid optimization, Teaching-learning based optimization algorithm, Taguchi method, Manufacturing, Turning
Kaynak
International Journal Of Advanced Manufacturing Technology
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
66
Sayı
9-12
