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

Yılmaz Delice, Emel Kızılkaya Aydoğan, Uğur Özcan () and Mehmet Sıtkı İlkay
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Yılmaz Delice: Erciyes University
Emel Kızılkaya Aydoğan: Erciyes University
Uğur Özcan: Gazi University
Mehmet Sıtkı İlkay: Erciyes University

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 1, No 3, 23-36

Abstract: Abstract 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.

Keywords: Assembly line balancing; Mixed-model two-sided assembly lines; Particle swarm optimization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s10845-014-0959-7

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