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6 Publications
2019 | Journal Article | LibreCat-ID: 53976
Mousavi, S. M., Tavana, M., Alikar, N., & Zandieh, M. (2019). A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification. Neural Computing and Applications, 31(3), 873–885. https://doi.org/10.1007/s00521-017-3115-4
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 53968
Tavana, M., Khanjani Shiraz, R., & Di Caprio, D. (2019). A chance-constrained portfolio selection model with random-rough variables. Neural Computing and Applications, 31(S2), 931–945. https://doi.org/10.1007/s00521-017-3014-8
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 54008
Ebrahimi, B., Tavana, M., Rahmani, M., & Santos-Arteaga, F. J. (2018). Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data. Neural Computing and Applications, 30(6), 1971–1982. https://doi.org/10.1007/s00521-016-2826-2
LibreCat
| DOI
2018 | Journal Article | LibreCat-ID: 54000
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
LibreCat
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2017 | Journal Article | LibreCat-ID: 54033
Tavana, M., Shabanpour, H., Yousefi, S., & Farzipoor Saen, R. (2017). A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation. Neural Computing and Applications, 28(12), 3683–3696. https://doi.org/10.1007/s00521-016-2274-z
LibreCat
| DOI
2012 | Journal Article | LibreCat-ID: 20178
Hamann, H., Schmickl, T., Wörn, H., & Crailsheim, K. (2012). Analysis of emergent symmetry breaking in collective decision making. Neural Computing and Applications, 21(2), 207–218. https://doi.org/10.1007/s00521-010-0368-6
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