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A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification. <i>Neural Computing and Applications</i>, <i>31</i>(3), 873–885. <a href=\"https://doi.org/10.1007/s00521-017-3115-4\">https://doi.org/10.1007/s00521-017-3115-4</a>","ieee":"S. M. Mousavi, M. Tavana, N. Alikar, and M. Zandieh, “A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification,” <i>Neural Computing and Applications</i>, vol. 31, no. 3, pp. 873–885, 2019, doi: <a href=\"https://doi.org/10.1007/s00521-017-3115-4\">10.1007/s00521-017-3115-4</a>.","short":"S.M. Mousavi, M. Tavana, N. Alikar, M. 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A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification. <i>Neural Computing and Applications</i>. 2019;31(3):873-885. doi:<a href=\"https://doi.org/10.1007/s00521-017-3115-4\">10.1007/s00521-017-3115-4</a>","bibtex":"@article{Mousavi_Tavana_Alikar_Zandieh_2019, title={A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification}, volume={31}, DOI={<a href=\"https://doi.org/10.1007/s00521-017-3115-4\">10.1007/s00521-017-3115-4</a>}, number={3}, journal={Neural Computing and Applications}, publisher={Springer Science and Business Media LLC}, author={Mousavi, Seyed Mohsen and Tavana, Madjid and Alikar, Najmeh and Zandieh, Mostafa}, year={2019}, pages={873–885} }"},"status":"public","publisher":"Springer Science and Business Media LLC","_id":"53976","page":"873-885","volume":31,"user_id":"51811"},{"citation":{"ama":"Tavana M, Khanjani Shiraz R, Di Caprio D. 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A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation. <i>Neural Computing and Applications</i>. 2017;28(12):3683-3696. doi:<a href=\"https://doi.org/10.1007/s00521-016-2274-z\">10.1007/s00521-016-2274-z</a>","bibtex":"@article{Tavana_Shabanpour_Yousefi_Farzipoor Saen_2017, title={A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation}, volume={28}, DOI={<a href=\"https://doi.org/10.1007/s00521-016-2274-z\">10.1007/s00521-016-2274-z</a>}, number={12}, journal={Neural Computing and Applications}, publisher={Springer Science and Business Media LLC}, author={Tavana, Madjid and Shabanpour, Hadi and Yousefi, Saeed and Farzipoor Saen, Reza}, year={2017}, pages={3683–3696} }","apa":"Tavana, M., Shabanpour, H., Yousefi, S., &#38; Farzipoor Saen, R. (2017). A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation. <i>Neural Computing and Applications</i>, <i>28</i>(12), 3683–3696. <a href=\"https://doi.org/10.1007/s00521-016-2274-z\">https://doi.org/10.1007/s00521-016-2274-z</a>","ieee":"M. Tavana, H. Shabanpour, S. Yousefi, and R. 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Analysis of emergent symmetry breaking in collective decision making. <i>Neural Computing and Applications</i>. 2012;21(2):207-218. doi:<a href=\"https://doi.org/10.1007/s00521-010-0368-6\">10.1007/s00521-010-0368-6</a>","bibtex":"@article{Hamann_Schmickl_Wörn_Crailsheim_2012, title={Analysis of emergent symmetry breaking in collective decision making}, volume={21}, DOI={<a href=\"https://doi.org/10.1007/s00521-010-0368-6\">10.1007/s00521-010-0368-6</a>}, number={2}, journal={Neural Computing and Applications}, author={Hamann, Heiko and Schmickl, Thomas and Wörn, Heinz and Crailsheim, Karl}, year={2012}, pages={207–218} }","apa":"Hamann, H., Schmickl, T., Wörn, H., &#38; Crailsheim, K. (2012). Analysis of emergent symmetry breaking in collective decision making. <i>Neural Computing and Applications</i>, <i>21</i>(2), 207–218. <a href=\"https://doi.org/10.1007/s00521-010-0368-6\">https://doi.org/10.1007/s00521-010-0368-6</a>","ieee":"H. Hamann, T. Schmickl, H. Wörn, and K. 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