A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing

Yildiz A. R.

APPLIED SOFT COMPUTING, cilt.13, sa.5, ss.2906-2912, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 5
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1016/j.asoc.2012.04.013
  • Dergi Adı: APPLIED SOFT COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.2906-2912
  • Anahtar Kelimeler: Artificial bee colony, Manufacturing, Milling, Structural optimization, Hybrid approach, MACHINING PARAMETERS, IMMUNE ALGORITHM, OPTIMIZATION APPROACH, GENETIC ALGORITHM, SEARCH, PERFORMANCE
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

The purpose of this paper is to develop a novel hybrid optimization method (HRABC) based on artificial bee colony algorithm and Taguchi method. The proposed approach is applied to a structural design optimization of a vehicle component and a multi-tool milling optimization problem.