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

Delice Y., Aydogan E. K., Ozcan U., Ilkay M. S.

JOURNAL OF INTELLIGENT MANUFACTURING, vol.28, pp.23-36, 2017 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 28
  • Publication Date: 2017
  • Doi Number: 10.1007/s10845-014-0959-7
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.23-36
  • Keywords: Assembly line balancing, Mixed-model two-sided assembly lines, Particle swarm optimization, TIME, COST
  • Kayseri University Affiliated: No


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.