A modified particle swarm optimization algorithm to mixed-model two-sided assembly line balancing

DELİCE Y., KIZILKAYA AYDOĞAN E., ÖZCAN U., İLKAY M. S.

JOURNAL OF INTELLIGENT MANUFACTURING, cilt.28, sa.1, ss.23-36, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 1
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1007/s10845-014-0959-7
  • Dergi Adı: JOURNAL OF INTELLIGENT MANUFACTURING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.23-36
  • Anahtar Kelimeler: Assembly line balancing, Mixed-model two-sided assembly lines, Particle swarm optimization, TIME, COST
  • Gazi Üniversitesi Adresli: Evet

Özet

In this paper, a new modified particle swarm optimization algorithm with negative knowledge is proposed to solve the mixed-model two-sided assembly line balancing problem. The proposed approach includes new procedures such as generation procedure which is based on combined selection mechanism and decoding procedure. These new procedures enhance the solution capability of the algorithm while enabling it to search at different points of the solution space, efficiently. Performance of the proposed approach is tested on a set of test problem. The experimental results show that the proposed approach can be acquired distinguished results than the existing solution approaches.