M. R. Meybodi
M. R. Meybodi
Professor of CEIT Dept, Amirkabir University of Technology, Tehran, Iran
Verified email at - Homepage
Cited by
Cited by
A Gaussian firefly algorithm
SM Farahani, AA Abshouri, B Nasiri, MR Meybodi
International Journal of Machine Learning and Computing 1 (5), 448, 2011
A mathematical framework for cellular learning automata
H Beigy, MR Meybodi
Advances in complex systems 7 (03n04), 295-319, 2004
Gases Brownian motion optimization: an algorithm for optimization (GBMO)
M Abdechiri, MR Meybodi, H Bahrami
Applied Soft Computing 13 (5), 2932-2946, 2013
Efficient stochastic algorithms for document clustering
R Forsati, M Mahdavi, M Shamsfard, MR Meybodi
Information Sciences 220, 269-291, 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
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
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
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
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
Cellular PSO: A PSO for dynamic environments
AB Hashemi, MR Meybodi
Advances in Computation and Intelligence: 4th International Symposium, ISICA …, 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
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
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
Bnc-pso: structure learning of bayesian networks by particle swarm optimization
S Gheisari, MR Meybodi
Information Sciences 348, 272-289, 2016
Maximizing lifetime of target coverage in wireless sensor networks using learning automata
H Mostafaei, MR Meybodi
Wireless Personal Communications 71, 1461-1477, 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
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
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
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
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
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