An Improved Genetic Algorithm for Digital Facility Layout Optimization Oriented Multi-Species and Variable-Batch Production Mode
2013 ◽
Vol 694-697
◽
pp. 3632-3635
Keyword(s):
When solving facility layout problem for the digital workshop to optimize the production, the traditional genetic algorithm has its flaws with slow convergence speed and that the accuracy of the optimal solution is not ideal. This paper analyzes those weak points and proposed an improved genetic algorithm according to the characteristics of multi-species and variable-batch production mode. The proposed approach improved the convergence speed and the accuracy of the optimal solution. The presented model of GA also has been tested and verified by simulation.
2013 ◽
Vol 5
(1)
◽
pp. 7-14
Keyword(s):
2005 ◽
Vol E88-A
(2)
◽
pp. 606-610
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Keyword(s):
2012 ◽
Vol 3
(1)
◽
pp. 35-43
2017 ◽
Vol 21
◽
pp. 255-262
◽
2012 ◽
Vol 4
(7)
◽
pp. 203-212
Keyword(s):
2019 ◽
Vol 2019
◽
pp. 1-11
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2013 ◽
Vol 365-366
◽
pp. 194-198
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