A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations

Yildiz A. R.

APPLIED SOFT COMPUTING, cilt.13, sa.3, ss.1561-1566, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 3
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1016/j.asoc.2011.12.016
  • Dergi Adı: APPLIED SOFT COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1561-1566
  • Anahtar Kelimeler: Milling, Hybrid optimization approach, Differential evolution, Receptor editing, GENETIC ALGORITHM, OPTIMIZATION PROBLEMS, DYNAMIC OPTIMIZATION, GLOBAL OPTIMIZATION, IMMUNE ALGORITHM, TAGUCHIS METHOD, DESIGN, SEARCH
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

This paper presents a novel hybrid optimization approach based on differential evolution algorithm and receptor editing property of immune system. The purpose of the present research is to develop a new optimization approach to solve optimization problems in the manufacturing industry. The proposed hybrid approach is applied to a case study for milling operations to show its effectiveness in machining operations. The results of the hybrid approach for the case study are compared with those of hybrid particle swarm algorithm, ant colony algorithm, immune algorithm, hybrid immune algorithm, genetic algorithm, feasible direction method and handbook recommendation. (C) 2012 Elsevier B. V. All rights reserved.