Assembly Sequence Optimization to Minimize Reorientation and Tool Changes Using Genetic Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1245-2_5
Reference9 articles.
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3. Kucukkoc I, Karaoglan AD, Yaman R (2013) Using response surface design to determine the optimal parameters of genetic algorithm and a case study. Int J Prod Res 51(17):5039–5054
4. Alharbi F, Wang Q (2018) Solving an assembly sequence optimisation problem using the genetic algorithm. In: Proceeding of 2018 international conference on electronics, control, optimization and computer science (ICECOCS), pp 1–5
5. Chen WC, Hsu YY, Hsieh LF, Tai PH (2010) A systematic optimization approach for assembly sequence planning using Taguchi method, DOE, and BPNN. Expert Syst Appl 37(1):716–726
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