A novel particle swarm optimization approach for product design and manufacturing

Yildiz A. R.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, cilt.40, sa.5-6, ss.617-628, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40 Sayı: 5-6
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1007/s00170-008-1453-1
  • Dergi Adı: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.617-628
  • Anahtar Kelimeler: Particle swarm algorithm, Receptor editing, Hybrid approach, Multi-pass turning, Design optimization, MULTIPASS TURNING OPERATIONS, GENETIC ALGORITHM, PARAMETER SELECTION, SEARCH
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

This paper presents a novel optimization approach that is a new hybrid optimization approach based on the particle swarm optimization algorithm and receptor editing property of immune system. The aim of the present research is to develop a new optimization approach and then to apply it in the solution of optimization problems in both the design and manufacturing areas. A single-objective test problem, tension spring problem, pressure vessel design optimization problem taken from the literature and two case studies for multi-pass turning operations are solved by the proposed new hybrid approach to evaluate performance of the approach. The results obtained by the proposed approach for the case studies are compared with a hybrid genetic algorithm, scatter search algorithm, genetic algorithm, and integration of simulated annealing and Hooke-Jeeves pattern search.