A. A. Mukred, Jameel and Zuwairie, Ibrahim and Ibrahim, Ismail and Adam, Asrul and Wan, Khairunizam and Md. Yusof, Zulkifli and N., Mokhtar (2012) A binary particle swarm optimization approach to optimize assembly sequence planning. Advanced Science Letters, 13 . pp. 732-738. ISSN 1936-6612
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Abstract
This paper presents an approach of applying Binary Particle Swarm Optimization (BPSO) algorithm to an assembly sequence-planning (ASP) problem. Permutation encoding of sequences is used to represent particles, then those particles are strictly subjected to a precedence constraint matrix at which only the feasible sequences will be iterated in the process. An archive is used in storing the feasible sequences and a swap mechanism is used to identify the feasible sequences for iteration. As the nature of assembly sequence planning is a discrete type of problem Binary PSO technique is used.
Item Type: | Article |
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Uncontrolled Keywords: | Advanced science |
Subjects: | Q Science |
Divisions: | Electrical Engineering |
ID Code: | 46466 |
Deposited By: | Haliza Zainal |
Deposited On: | 22 Jun 2015 05:56 |
Last Modified: | 27 Aug 2017 08:24 |
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