Optimization of multi-pass turning operations using hybrid teaching learning-based approach

Küçük Resim Yok

Tarih

2013

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

Künye