| A Gaussian firefly algorithm SM Farahani, AA Abshouri, B Nasiri, MR Meybodi International Journal of Machine Learning and Computing 1 (5), 448, 2011 | 209 | 2011 |
| A mathematical framework for cellular learning automata H Beigy, MR Meybodi Advances in Complex Systems 7 (03n04), 295-319, 2004 | 194 | 2004 |
| Efficient stochastic algorithms for document clustering R Forsati, M Mahdavi, M Shamsfard, MR Meybodi Information Sciences 220, 269-291, 2013 | 134 | 2013 |
| Utilizing distributed learning automata to solve stochastic shortest path problems H Beigy, MR Meybodi International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2006 | 131 | 2006 |
| A note on the learning automata based algorithms for adaptive parameter selection in PSO AB Hashemi, MR Meybodi Applied Soft Computing 11 (1), 689-705, 2011 | 125 | 2011 |
| A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization D Yazdani, B Nasiri, A Sepas-Moghaddam, MR Meybodi Applied Soft Computing 13 (4), 2144-2158, 2013 | 117 | 2013 |
| A new hybrid approach for data clustering using firefly algorithm and K-means T Hassanzadeh, MR Meybodi The 16th CSI international symposium on artificial intelligence and signal …, 2012 | 117 | 2012 |
| Mobility-based multicast routing algorithm for wireless mobile Ad-hoc networks: A learning automata approach JA Torkestani, MR Meybodi Computer Communications 33 (6), 721-735, 2010 | 115 | 2010 |
| Gases Brownian motion optimization: an algorithm for optimization (GBMO) M Abdechiri, MR Meybodi, H Bahrami Applied Soft Computing 13 (5), 2932-2946, 2013 | 111 | 2013 |
| An intelligent backbone formation algorithm for wireless ad hoc networks based on distributed learning automata JA Torkestani, MR Meybodi Computer Networks 54 (5), 826-843, 2010 | 110 | 2010 |
| Cellular PSO: A PSO for dynamic environments AB Hashemi, MR Meybodi Advances in Computation and Intelligence: 4th International Symposium, ISICA …, 2009 | 109 | 2009 |
| New learning automata based algorithms for adaptation of backpropagation algorithm parameters MR Meybodi, H Beigy International Journal of Neural Systems 12 (01), 45-67, 2002 | 106 | 2002 |
| Decreasing impact of sla violations: a proactive resource allocation approachfor cloud computing environments H Morshedlou, MR Meybodi IEEE Transactions on Cloud Computing 2 (2), 156-167, 2014 | 103 | 2014 |
| Cellular learning automata with multiple learning automata in each cell and its applications H Beigy, MR Meybodi IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009 | 102 | 2009 |
| Maximizing lifetime of target coverage in wireless sensor networks using learning automata H Mostafaei, MR Meybodi Wireless Personal Communications 71, 1461-1477, 2013 | 89 | 2013 |
| Effective page recommendation algorithms based on distributed learning automata and weighted association rules R Forsati, MR Meybodi Expert Systems with Applications 37 (2), 1316-1330, 2010 | 89 | 2010 |
| Some hybrid models to improve firefly algorithm performance SM Farahani, AA Abshouri, B Nasiri, MR Meybodi International journal of artificial intelligence 8 (12), 97-117, 2012 | 84 | 2012 |
| A link stability-based multicast routing protocol for wireless mobile ad hoc networks JA Torkestani, MR Meybodi Journal of Network and Computer Applications 34 (4), 1429-1440, 2011 | 82 | 2011 |
| A cellular learning automata based clustering algorithm for wireless sensor networks M Esnaashari, MR Meybodi Sensor Letters 6 (5), 723-735, 2008 | 82 | 2008 |
| Enriched ant colony optimization and its application in feature selection R Forsati, A Moayedikia, R Jensen, M Shamsfard, MR Meybodi Neurocomputing 142, 354-371, 2014 | 80 | 2014 |
