An evolutionary computation approach to solving repairable multi-state multi-objective redundancy allocation problems
M. Tavana, K. Khalili-Damghani, D. Di Caprio, Z. Oveisi, Neural Computing and Applications 30 (2018) 127–139.
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Journal Article
| Published
| English
Author
Tavana, MadjidLibreCat;
Khalili-Damghani, Kaveh;
Di Caprio, Debora;
Oveisi, Zeynab
Publishing Year
Journal Title
Neural Computing and Applications
Volume
30
Issue
1
Page
127-139
LibreCat-ID
Cite this
Tavana M, Khalili-Damghani K, Di Caprio D, Oveisi Z. An evolutionary computation approach to solving repairable multi-state multi-objective redundancy allocation problems. Neural Computing and Applications. 2018;30(1):127-139. doi:10.1007/s00521-016-2676-y
Tavana, M., Khalili-Damghani, K., Di Caprio, D., & Oveisi, Z. (2018). An evolutionary computation approach to solving repairable multi-state multi-objective redundancy allocation problems. Neural Computing and Applications, 30(1), 127–139. https://doi.org/10.1007/s00521-016-2676-y
@article{Tavana_Khalili-Damghani_Di Caprio_Oveisi_2018, title={An evolutionary computation approach to solving repairable multi-state multi-objective redundancy allocation problems}, volume={30}, DOI={10.1007/s00521-016-2676-y}, number={1}, journal={Neural Computing and Applications}, publisher={Springer Science and Business Media LLC}, author={Tavana, Madjid and Khalili-Damghani, Kaveh and Di Caprio, Debora and Oveisi, Zeynab}, year={2018}, pages={127–139} }
Tavana, Madjid, Kaveh Khalili-Damghani, Debora Di Caprio, and Zeynab Oveisi. “An Evolutionary Computation Approach to Solving Repairable Multi-State Multi-Objective Redundancy Allocation Problems.” Neural Computing and Applications 30, no. 1 (2018): 127–39. https://doi.org/10.1007/s00521-016-2676-y.
M. Tavana, K. Khalili-Damghani, D. Di Caprio, and Z. Oveisi, “An evolutionary computation approach to solving repairable multi-state multi-objective redundancy allocation problems,” Neural Computing and Applications, vol. 30, no. 1, pp. 127–139, 2018, doi: 10.1007/s00521-016-2676-y.
Tavana, Madjid, et al. “An Evolutionary Computation Approach to Solving Repairable Multi-State Multi-Objective Redundancy Allocation Problems.” Neural Computing and Applications, vol. 30, no. 1, Springer Science and Business Media LLC, 2018, pp. 127–39, doi:10.1007/s00521-016-2676-y.
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