Multi-objective Design Optimization of Spherical Rolling Bearings
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9285-8_58
Reference16 articles.
1. Chakraborty I, Kumar V, Nair SB, Tiwari R (2003) Rolling element bearing design through genetic algorithms. Eng Optim 35(6):649–659. https://doi.org/10.1080/03052150310001624403
2. Rao BR, Tiwari R (2007) Optimum design of rolling element bearings using genetic algorithms. Mech Mach Theory 42:233–250. https://doi.org/10.1016/j.mechmachtheory.2006.02.004
3. Gupta S, Tiwari R, Nair SB (2007) Multi-Objective design optimisation of rolling bearings using genetic algorithms. Mech Mach Theory 42:1418–1443. https://doi.org/10.1016/j.mechmachtheory.2006.10.002
4. Kumar KS, Tiwari R, Reddy RS (2008) Development of an optimum design methodology of cylindrical roller bearings using genetic algorithms. Int J Comput Methods Eng Sci Mech 9(6):321–341. https://doi.org/10.1080/15502280802362995
5. Lin WY (2010) Optimum design of rolling element bearings using a genetic algorithm–differential evolution (GA–DE) hybrid algorithm. J Mech Eng Sci 225:714–721. https://doi.org/10.1243/09544062JMES2389
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