Ahmed Mukred, Jameel Abdulla and Ibrahim, Zuwairie and Ismail, Ibrahim and Mokhtar, Norrima (2011) A binary particle swarm optimization approach to optimize assembly sequence planning. In: 2nd International Symposium On Mechanical Science And Technology (ISMST 2011).
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Official URL: https://www.researchgate.net/publication/240917767...
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: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | binary particle swarm |
| Divisions: | Civil Engineering |
| ID Code: | 45464 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 10 Jun 2015 03:00 |
| Last Modified: | 20 Sep 2017 00:34 |
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