Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations

Küçük Resim Yok

Tarih

2013

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Hybridizing of the optimization algorithms provides a scope to improve the searching abilities of the resulting method. The purpose of this paper is to develop a novel hybrid optimization algorithm entitled hybrid robust differential evolution (HRDE) by adding positive properties of the Taguchi's method to the differential evolution algorithm for minimizing the production cost associated with multi-pass turning problems. The proposed optimization approach is applied to two case studies for multi-pass turning operations to illustrate the effectiveness and robustness of the proposed algorithm in machining operations. The results reveal that the proposed hybrid algorithm is more effective than particle swarm optimization algorithm, immune algorithm, hybrid harmony search algorithm, hybrid genetic algorithm, scatter search algorithm, genetic algorithm and integration of simulated annealing and Hooke-Jeevespatter search. (C) 2012 Elsevier B. V. All rights reserved.

Açıklama

Anahtar Kelimeler

Hybrid optimization, Differential evolution algorithm, Taguchi's method, Manufacturing, Turning

Kaynak

Applied Soft Computing

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

13

Sayı

3

Künye