A methodology for solving facility layout problem considering barriers: genetic algorithm coupled with A* search
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-019-01468-x.pdf
Reference96 articles.
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2. Ahmadi, A., Pishvaee, M. S., & Jokar, M. R. A. (2017). A survey on multi-floor facility layout problems. Journal of Computers and industrial engineering,107(2017), 158–170.
3. Aiello, G., Scalia, G. L., & Enea, M. (2013). A non dominated ranking multi objective genetic algorithm and electre method for unequal area facility layout problems. Expert Systems with Applications,40(12), 4812–4819.
4. Al-Zuheri, A., Luong, L., & Xing, K. (2014). Developing a multiobjective genetic optimisation approach for an operational design of a manual mixed-model assembly line with walking workers. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-014-0934-3 .
5. Angelova, M., & Pencheva, T. (2011). Tuning genetic algorithm parameters to improve convergence time. International Journal of Chemical Engineering. https://doi.org/10.1155/2011/646917 .
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