A Gaussian firefly algorithm SM Farahani, AA Abshouri, B Nasiri, MR Meybodi International Journal of Machine Learning and Computing 1 (5), 448, 2011 | 226 | 2011 |
A mathematical framework for cellular learning automata H Beigy, MR Meybodi Advances in complex systems 7 (03n04), 295-319, 2004 | 210 | 2004 |
Gases Brownian motion optimization: an algorithm for optimization (GBMO) M Abdechiri, MR Meybodi, H Bahrami Applied Soft Computing 13 (5), 2932-2946, 2013 | 164 | 2013 |
Efficient stochastic algorithms for document clustering R Forsati, M Mahdavi, M Shamsfard, MR Meybodi Information Sciences 220, 269-291, 2013 | 142 | 2013 |
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 | 140 | 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 | 138 | 2006 |
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 | 137 | 2012 |
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 | 130 | 2011 |
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 | 125 | 2010 |
Cellular PSO: A PSO for dynamic environments AB Hashemi, MR Meybodi Advances in Computation and Intelligence: 4th International Symposium, ISICA …, 2009 | 120 | 2009 |
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 | 118 | 2010 |
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 | 114 | 2014 |
Bnc-pso: structure learning of bayesian networks by particle swarm optimization S Gheisari, MR Meybodi Information Sciences 348, 272-289, 2016 | 107 | 2016 |
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 | 105 | 2009 |
Maximizing lifetime of target coverage in wireless sensor networks using learning automata H Mostafaei, MR Meybodi Wireless Personal Communications 71, 1461-1477, 2013 | 97 | 2013 |
A hibernating multi-swarm optimization algorithm for dynamic environments M Kamosi, AB Hashemi, MR Meybodi 2010 second world congress on nature and biologically inspired computing …, 2010 | 95 | 2010 |
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 | 94 | 2002 |
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 | 91 | 2012 |
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 | 91 | 2010 |
Speciation based firefly algorithm for optimization in dynamic environments B Nasiri, M Meybodi International Journal of Artificial Intelligence 8 (S12), 118-132, 2012 | 88 | 2012 |