Mousavi, Seyed Mohsen, Madjid Tavana, Najmeh Alikar, and Mostafa Zandieh. “A Tuned Hybrid Intelligent Fruit Fly Optimization Algorithm for Fuzzy Rule Generation and Classification.”https://doi.org/10.1007/s00521-017-3115-4__Neural Computing and Applications 31, no. 3 (2019): 873–85.https://doi.org/10.1007/s00521-017-3115-4 .
LibreCat: /record/53976
DOI: 10.1007/s00521-017-3115-4

Tavana, Madjid, Rashed Khanjani Shiraz, and Debora Di Caprio. “A Chance-Constrained Portfolio Selection Model with Random-Rough Variables.”https://doi.org/10.1007/s00521-017-3014-8__Neural Computing and Applications 31, no.https://doi.org/10.1007/s00521-017-3014-8__(2019): 931–45.https://doi.org/10.1007/s00521-017-3014-8 .
LibreCat: /record/53968
DOI: 10.1007/s00521-017-3014-8

Ebrahimi, Bohlool, Madjid Tavana, Morteza Rahmani, and Francisco J. Santos-Arteaga. “Efficiency Measurement in Data Envelopment Analysis in the Presence of Ordinal and Interval Data.”https://doi.org/10.1007/s00521-016-2826-2__Neural Computing and Applications 30, no. 6 (2018): 1971–82.https://doi.org/10.1007/s00521-016-2826-2 .
LibreCat: /record/54008
DOI: 10.1007/s00521-016-2826-2

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.”https://doi.org/10.1007/s00521-016-2676-y__Neural Computing and Applications 30, no. 1 (2018): 127–39.https://doi.org/10.1007/s00521-016-2676-y .
LibreCat: /record/54000
DOI: 10.1007/s00521-016-2676-y

Hamann, Heiko, Thomas Schmickl, Heinz Wörn, and Karl Crailsheim. “Analysis of Emergent Symmetry Breaking in Collective Decision Making.”https://doi.org/10.1007/s00521-010-0368-6__Neural Computing and Applications 21, no. 2 (2012): 207–18.https://doi.org/10.1007/s00521-010-0368-6 .
LibreCat: /record/20178
DOI: 10.1007/s00521-010-0368-6