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ORCIDMohammad Reza Meybodi
M. R. Meybodi
Person information
- affiliation: Amirkabir University of Technology, Tehran, Iran
- affiliation (1985 - 1991): Ohio University, Athens, OH, USA
- affiliation (1983 - 1985): Western Michigan University, Kalamazoo, MI, USA
- affiliation (PhD 1983): Oklahoma University, Norman, OK, USA
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2020 – today
- 2023
[j178]Saber Gholami
, Ali Mohammad Saghiri, S. Mehdi Vahidipour, M. R. Meybodi:
HLA: a novel hybrid model based on fixed structure and variable structure learning automata. J. Exp. Theor. Artif. Intell. 35(2): 231-256 (2023)- [i13]Ali Nikhalat Jahromi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoin. CoRR abs/2301.11463 (2023) - [i12]Ali Nikhalat Jahromi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
VDHLA: Variable Depth Hybrid Learning Automaton and Its Application to Defense Against the Selfish Mining Attack in Bitcoin. CoRR abs/2302.12096 (2023) - [i11]Seyed Ardalan Ghoreishi, Mohammad Reza Meybodi:
New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata. CoRR abs/2307.00529 (2023) - [i10]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
A Cost-Aware Mechanism for Optimized Resource Provisioning in Cloud Computing. CoRR abs/2309.11299 (2023) - [i9]Safiye Ghasemi, Mohammad Reza Meybodi, M. Dehghan, Amir Masoud Rahmani:
A Competition-based Pricing Strategy in Cloud Markets using Regret Minimization Techniques. CoRR abs/2309.11312 (2023) - [i8]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
Dynamic Pricing of Applications in Cloud Marketplaces using Game Theory. CoRR abs/2309.11316 (2023) - 2022
- [j177]Reza Vafashoar, Hossein Morshedlou, Mohammad Reza Meybodi:
Bifurcated particle swarm optimizer with topology learning particles. Appl. Soft Comput. 114: 108039 (2022) - [j176]Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi, Reyhaneh Ameri:
Cellular goore game with application to finding maximum clique in social networks. J. Comput. Des. Eng. 9(3): 966-991 (2022) - [j175]Bagher Zarei, Mohammad Reza Meybodi, Behrooz Masoumi:
A New Evolutionary Model Based on Cellular Learning Automata and Chaos Theory. New Gener. Comput. 40(1): 285-310 (2022) - [j174]Reyhaneh Ameri, Mohammad Reza Meybodi, Mohammad Mehdi Daliri Khomami:
Cellular Goore Game and its application to quality-of-service control in wireless sensor networks. J. Supercomput. 78(13): 15181-15228 (2022) - [j173]Mozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh:
A new multi-wave continuous action-set cellular learning automata for link prediction problem in weighted multi-layer social networks. J. Supercomput. 78(17): 18636-18665 (2022) - 2021
- [b4]Reza Vafashoar, Hossein Morshedlou, Alireza Rezvanian, Mohammad Reza Meybodi:
Cellular Learning Automata: Theory and Applications. Springer 2021, ISBN 978-3-030-53140-9, pp. 1-365 - [b3]Javidan Kazemi Kordestani, Mehdi Razapoor Mirsaleh, Alireza Rezvanian, Mohammad Reza Meybodi:
Advances in Learning Automata and Intelligent Optimization. Intelligent Systems Reference Library 208, Springer 2021, ISBN 978-3-030-76290-2, pp. 1-340 - [j172]Mozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh:
A new irregular cellular learning automata-based evolutionary computation for time series link prediction in social networks. Appl. Intell. 51(1): 71-84 (2021) - [j171]Nahid Amirazodi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A self-adaptive algorithm for super-peer selection considering the mobility of peers in cognitive mobile peer-to-peer networks. Int. J. Commun. Syst. 34(1) (2021) - [j170]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
A competition-based pricing strategy in Cloud markets using regret minimisation techniques. Int. J. Grid Util. Comput. 12(5/6): 635-654 (2021) - [j169]Javidan Kazemi Kordestani, Mohammad Reza Meybodi, Amir Masoud Rahmani:
A Two-Level Function Evaluation Management Model for Multi-Population Methods in Dynamic Environments: Hierarchical Learning Automata Approach. J. Exp. Theor. Artif. Intell. 33(1): 1-26 (2021) - [j168]Mina Ghavipour, Mohammad Reza Meybodi:
A dynamic sampling algorithm based on learning automata for stochastic trust networks. Knowl. Based Syst. 212: 106620 (2021) - [j167]Hamid Beigy, Mohammad Reza Meybodi:
A sampling method based on distributed learning automata for solving stochastic shortest path problem. Knowl. Based Syst. 212: 106638 (2021) - [j166]Bagher Zarei, Mohammad Reza Meybodi:
Improving learning ability of learning automata using chaos theory. J. Supercomput. 77(1): 652-678 (2021) - [j165]Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Mohammad Reza Meybodi, Alireza Bagheri:
CFIN: A community-based algorithm for finding influential nodes in complex social networks. J. Supercomput. 77(3): 2207-2236 (2021) - [j164]Mozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh:
A variable action set cellular learning automata-based algorithm for link prediction in online social networks. J. Supercomput. 77(7): 7620-7648 (2021) - [c80]Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
Solving Minimum Dominating Set in Multiplex Networks Using Learning Automata. CSICC 2021: 1-6 - 2020
- [j163]Mojtaba Jamshidi, Shokooh Sheikh Abooli Poor, Abbas Arghavani, Mehdi Esnaashari, Abdusalam Abdulla Shaltooki, Mohammad Reza Meybodi:
A simple, lightweight, and precise algorithm to defend against replica node attacks in mobile wireless networks using neighboring information. Ad Hoc Networks 100: 102081 (2020) - [j162]Reza Vafashoar, Mohammad Reza Meybodi:
A multi-population differential evolution algorithm based on cellular learning automata and evolutionary context information for optimization in dynamic environments. Appl. Soft Comput. 88: 106009 (2020) - [j161]Bagher Zarei, Mohammad Reza Meybodi:
Detecting community structure in complex networks using genetic algorithm based on object migrating automata. Comput. Intell. 36(2): 824-860 (2020) - [j160]Javidan Kazemi Kordestani, Mohammad Reza Meybodi, Amir Masoud Rahmani:
A note on the exclusion operator in multi-swarm PSO algorithms for dynamic environments. Connect. Sci. 32(3): 239-263 (2020) - [j159]Mojtaba Jamshidi, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi:
Using Time-Location Tags and Watchdog Nodes to Defend Against Node Replication Attack in Mobile Wireless Sensor Networks. Int. J. Wirel. Inf. Networks 27(1): 102-115 (2020) - [j158]Hamid Beigy, Mohammad Reza Meybodi:
An iterative stochastic algorithm based on distributed learning automata for finding the stochastic shortest path in stochastic graphs. J. Supercomput. 76(7): 5540-5562 (2020)
2010 – 2019
- 2019
- [b2]Alireza Rezvanian, Behnaz Moradabadi, Mina Ghavipour, Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi:
Learning Automata Approach for Social Networks. Studies in Computational Intelligence 820, Springer 2019, ISBN 978-3-030-10766-6 - [j157]Mojtaba Jamshidi, Milad Ranjbari, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi:
A New Algorithm to Defend Against Sybil Attack in Static Wireless Sensor Networks Using Mobile Observer Sensor Nodes. Ad Hoc Sens. Wirel. Networks 43(3-4): 213-238 (2019) - [j156]Mina Ghavipour, Mohammad Reza Meybodi:
Stochastic trust network enriched by similarity relations to enhance trust-aware recommendations. Appl. Intell. 49(2): 435-448 (2019) - [j155]Seyed Mehdi Vahidipour, Mehdi Esnaashari, Alireza Rezvanian, Mohammad Reza Meybodi:
GAPN-LA: A framework for solving graph problems using Petri nets and learning automata. Eng. Appl. Artif. Intell. 77: 255-267 (2019) - [j154]Mojtaba Jamshidi, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi:
Detecting Sybil nodes in stationary wireless sensor networks using learning automaton and client puzzles. IET Commun. 13(13): 1988-1997 (2019) - [j153]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
RMRL: improved regret minimisation techniques using learning automata. J. Exp. Theor. Artif. Intell. 31(3): 441-454 (2019) - [j152]Reza Vafashoar, Mohammad Reza Meybodi:
Reinforcement learning in learning automata and cellular learning automata via multiple reinforcement signals. Knowl. Based Syst. 169: 1-27 (2019) - [j151]Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi:
New measures for comparing optimization algorithms on dynamic optimization problems. Nat. Comput. 18(4): 705-720 (2019) - [j150]Mehran Mirkhan, Mohammad Reza Meybodi:
Restricted Convolutional Neural Networks. Neural Process. Lett. 50(2): 1705-1733 (2019) - [j149]Reza Vafashoar, Mohammad Reza Meybodi:
Cellular learning automata based bare bones PSO with maximum likelihood rotated mutations. Swarm Evol. Comput. 44: 680-694 (2019) - [j148]Javidan Kazemi Kordestani, Amir Ehsan Ranginkaman, Mohammad Reza Meybodi, Pavel Novoa-Hernández:
A novel framework for improving multi-population algorithms for dynamic optimization problems: A scheduling approach. Swarm Evol. Comput. 44: 788-805 (2019) - [j147]Mojtaba Jamshidi, Ehsan Zangeneh, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi:
A Novel Model of Sybil Attack in Cluster-Based Wireless Sensor Networks and Propose a Distributed Algorithm to Defend It. Wirel. Pers. Commun. 105(1): 145-173 (2019) - 2018
- [b1]Alireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi:
Recent Advances in Learning Automata. Studies in Computational Intelligence 754, Springer 2018, ISBN 978-3-319-72427-0, pp. 3-438 - [j146]Javidan Kazemi Kordestani, Hossein Abedi Firouzjaee, Mohammad Reza Meybodi:
An adaptive bi-flight cuckoo search with variable nests for continuous dynamic optimization problems. Appl. Intell. 48(1): 97-117 (2018) - [j145]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
An adaptive super-peer selection algorithm considering peers capacity utilizing asynchronous dynamic cellular learning automata. Appl. Intell. 48(2): 271-299 (2018) - [j144]Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Negin Bagherpour, Mohammad Reza Meybodi:
Minimum positive influence dominating set and its application in influence maximization: a learning automata approach. Appl. Intell. 48(3): 570-593 (2018) - [j143]Reza Vafashoar, Mohammad Reza Meybodi:
Multi swarm optimization algorithm with adaptive connectivity degree. Appl. Intell. 48(4): 909-941 (2018) - [j142]Mina Ghavipour, Mohammad Reza Meybodi:
A streaming sampling algorithm for social activity networks using fixed structure learning automata. Appl. Intell. 48(4): 1054-1081 (2018) - [j141]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
Assignment of cells to switches in cellular mobile network: a learning automata-based memetic algorithm. Appl. Intell. 48(10): 3231-3247 (2018) - [j140]Hossein Morshedlou, Mohammad Reza Meybodi:
Insurance for Improving User Satisfaction Level. Bus. Inf. Syst. Eng. 60(6): 513-524 (2018) - [j139]Ziaeddin Beheshtifard, Mohammad Reza Meybodi:
An adaptive channel assignment in wireless mesh network: The learning automata approach. Comput. Electr. Eng. 72: 79-91 (2018) - [j138]Mohammad Khanjary, Masoud Sabaei, Mohammad Reza Meybodi:
Barrier coverage in adjustable-orientation directional sensor networks: A learning automata approach. Comput. Electr. Eng. 72: 859-876 (2018) - [j137]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
Balancing exploration and exploitation in memetic algorithms: A learning automata approach. Comput. Intell. 34(1): 282-309 (2018) - [j136]Safiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani:
A cost-aware mechanism for optimized resource provisioning in cloud computing. Clust. Comput. 21(2): 1381-1394 (2018) - [j135]Mina Ghavipour, Mohammad Reza Meybodi:
A dynamic algorithm for stochastic trust propagation in online social networks: Learning automata approach. Comput. Commun. 123: 11-23 (2018) - [j134]Behnaz Moradabadi, Mohammad Reza Meybodi:
Link prediction in weighted social networks using learning automata. Eng. Appl. Artif. Intell. 70: 16-24 (2018) - [j133]Azam Shirali, Javidan Kazemi Kordestani, Mohammad Reza Meybodi:
Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platforms. Genet. Program. Evolvable Mach. 19(4): 505-534 (2018) - [j132]Hossein Morshedlou, Mohammad Reza Meybodi:
A new learning automata based approach for increasing utility of service providers. Int. J. Commun. Syst. 31(3) (2018) - [j131]Behnaz Moradabadi, Mohammad Reza Meybodi:
Link prediction in stochastic social networks: Learning automata approach. J. Comput. Sci. 24: 313-328 (2018) - [j130]Mehdi Esnaashari, Mohammad Reza Meybodi:
Dynamic irregular cellular learning automata. J. Comput. Sci. 24: 358-370 (2018) - [j129]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
On expediency of Closed Asynchronous Dynamic Cellular Learning Automata. J. Comput. Sci. 24: 371-378 (2018) - [j128]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
A Michigan memetic algorithm for solving the vertex coloring problem. J. Comput. Sci. 24: 389-401 (2018) - [j127]Mohammad Mehdi Daliri Khomami, Alireza Rezvanian, Mohammad Reza Meybodi:
A new cellular learning automata-based algorithm for community detection in complex social networks. J. Comput. Sci. 24: 413-426 (2018) - [j126]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
Open asynchronous dynamic cellular learning automata and its application to allocation hub location problem. Knowl. Based Syst. 139: 149-169 (2018) - [j125]Amin Birashk, Javidan Kazemi Kordestani, Mohammad Reza Meybodi:
Cellular teaching-learning-based optimization approach for dynamic multi-objective problems. Knowl. Based Syst. 141: 148-177 (2018) - [j124]Mina Ghavipour, Mohammad Reza Meybodi:
Trust propagation algorithm based on learning automata for inferring local trust in online social networks. Knowl. Based Syst. 143: 307-316 (2018) - [j123]Nahid Amirazodi, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
An adaptive algorithm for super-peer selection considering peer's capacity in mobile peer-to-peer networks based on learning automata. Peer-to-Peer Netw. Appl. 11(1): 74-89 (2018) - [j122]Majid Gholipour, A. T. Haghighat, Mohammad Reza Meybodi:
Congestion avoidance in cognitive wireless sensor networks using TOPSIS and response surface methodology. Telecommun. Syst. 67(3): 519-537 (2018) - 2017
- [j121]Seyed Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari:
Adaptive Petri net based on irregular cellular learning automata with an application to vertex coloring problem. Appl. Intell. 46(2): 272-284 (2017) - [j120]Behnaz Moradabadi, Mohammad Reza Meybodi:
Link prediction in fuzzy social networks using distributed learning automata. Appl. Intell. 47(3): 837-849 (2017) - [j119]Mojtaba Jamshidi, Ehsan Zangeneh, Mehdi Esnaashari, Mohammad Reza Meybodi:
A lightweight algorithm for detecting mobile Sybil nodes in mobile wireless sensor networks. Comput. Electr. Eng. 64: 220-232 (2017) - [j118]Soheila Gheisari, Mohammad Reza Meybodi:
A new reasoning and learning model for Cognitive Wireless Sensor Networks based on Bayesian networks and learning automata cooperation. Comput. Networks 124: 11-26 (2017) - [j117]Seyed Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari:
Cellular adaptive Petri net based on learning automata and its application to the vertex coloring problem. Discret. Event Dyn. Syst. 27(4): 609-640 (2017) - [j116]Mina Ghavipour, Mohammad Reza Meybodi:
Irregular cellular learning automata-based algorithm for sampling social networks. Eng. Appl. Artif. Intell. 59: 244-259 (2017) - [j115]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A closed asynchronous dynamic model of cellular learning automata and its application to peer-to-peer networks. Genet. Program. Evolvable Mach. 18(3): 313-349 (2017) - [j114]Tahereh Hassanzadeh, Mohammad Reza Meybodi, Masoumeh Shahramirad:
A New Fuzzy Firefly Algorithm with Adaptive Parameters. Int. J. Comput. Intell. Appl. 16(3): 1750017:1-1750017:28 (2017) - [j113]Mohsen Jahanshahi, Mehdi Dehghan, Mohammad Reza Meybodi:
A cross-layer optimization framework for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networks. Int. J. Comput. Math. 94(8): 1624-1652 (2017) - [j112]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A distributed adaptive landmark clustering algorithm based on mOverlay and learning automata for topology mismatch problem in unstructured peer-to-peer networks. Int. J. Commun. Syst. 30(3) (2017) - [j111]Alireza Rezvanian, Mohammad Reza Meybodi:
A new learning automata-based sampling algorithm for social networks. Int. J. Commun. Syst. 30(5) (2017) - [j110]Majid Gholipour, Abolfazl Toroghi Haghighat, Mohammad Reza Meybodi:
Hop-by-Hop Congestion Avoidance in wireless sensor networks based on genetic support vector machine. Neurocomputing 223: 63-76 (2017) - [j109]Seyed Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari:
Finding the Shortest Path in Stochastic Graphs Using Learning Automata and Adaptive Stochastic Petri Nets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(3): 427-456 (2017) - [j108]Alireza Rezvanian, Mohammad Reza Meybodi:
Sampling algorithms for stochastic graphs: A learning automata approach. Knowl. Based Syst. 127: 126-144 (2017) - [j107]Soheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh:
Bayesian network structure training based on a game of learning automata. Int. J. Mach. Learn. Cybern. 8(4): 1093-1105 (2017) - [j106]Hossein Morshedlou, Mohammad Reza Meybodi:
A New Local Rule for Convergence of ICLA to a Compatible Point. IEEE Trans. Syst. Man Cybern. Syst. 47(12): 3233-3244 (2017) - [j105]Sara Fathipour Deiman, Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A Delay Aware Super-Peer Selection Algorithm for Gradient Topology Utilizing Learning Automata. Wirel. Pers. Commun. 95(3): 2611-2624 (2017) - [c79]Mohammad Khanjary, Masoud Sabaei, Mohammad Reza Meybodi:
Critical Density in Adjustable-Orientation Directional Sensor Networks Using Continuum Percolation. ICCSCI 2017: 548-555 - [c78]Shekufeh Shafeie, Mohammad Reza Meybodi:
Topology maintenance of Ad Hoc wireless sensor networks with an optimum distributed power saving scheduling learning automata based algorithm. UEMCON 2017: 209-216 - 2016
- [j104]Ziaeddin Beheshtifard, Mohammad Reza Meybodi:
Maximal throughput scheduling based on the physical interference model using learning automata. Ad Hoc Networks 45: 65-79 (2016) - [j103]Soheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh:
BNC-VLA: bayesian network structure learning using a team of variable-action set learning automata. Appl. Intell. 45(1): 135-151 (2016) - [j102]Reza Vafashoar, Mohammad Reza Meybodi:
Multi swarm bare bones particle swarm optimization with distribution adaption. Appl. Soft Comput. 47: 534-552 (2016) - [j101]Alireza Rezvanian, Mohammad Reza Meybodi:
Stochastic graph as a model for social networks. Comput. Hum. Behav. 64: 621-640 (2016) - [j100]Soheila Gheisari, Mohammad Reza Meybodi:
LA-CWSN: A learning automata-based cognitive wireless sensor networks. Comput. Commun. 94: 46-56 (2016) - [j99]Mina Ghavipour, Mohammad Reza Meybodi:
An adaptive fuzzy recommender system based on learning automata. Electron. Commer. Res. Appl. 20: 105-115 (2016) - [j98]Amir Hossein Jadidinejad, Fariborz Mahmoudi, M. R. Meybodi:
Conceptual feature generation for textual information using a conceptual network constructed from Wikipedia. Expert Syst. J. Knowl. Eng. 33(1): 92-106 (2016) - [j97]Mohammad Hasanzadeh, Omid Jalilian, Alireza Rezvanian, Mohammad Reza Meybodi:
Service level agreement based adaptive Grid superscheduling. Future Gener. Comput. Syst. 55: 62-73 (2016) - [j96]Behnaz Moradabadi, Mohammad Mahdi Ebadzadeh, Mohammad Reza Meybodi:
A new real-coded stochastic Bayesian optimization algorithm for continuous global optimization. Genet. Program. Evolvable Mach. 17(2): 145-167 (2016) - [j95]Mahdi Aziz, Mohammad-H. Tayarani-N., Mohammad Reza Meybodi:
A two-objective memetic approach for the node localization problem in wireless sensor networks. Genet. Program. Evolvable Mach. 17(4): 321-358 (2016) - [j94]Babak Nasiri, Mohammad Reza Meybodi:
History-driven firefly algorithm for optimisation in dynamic and uncertain environments. Int. J. Bio Inspired Comput. 8(5): 326-339 (2016) - [j93]Babak Nasiri, Mohammad Reza Meybodi, Mohammad Mehdi Ebadzadeh:
History-Driven Particle Swarm Optimization in dynamic and uncertain environments. Neurocomputing 172: 356-370 (2016) - [j92]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
A Michigan memetic algorithm for solving the community detection problem in complex network. Neurocomputing 214: 535-545 (2016) - [j91]Soheila Gheisari, Mohammad Reza Meybodi:
BNC-PSO: structure learning of Bayesian networks by Particle Swarm Optimization. Inf. Sci. 348: 272-289 (2016) - [j90]Mohammad Hasanzadeh, Sana Sadeghi, Alireza Rezvanian, Mohammad Reza Meybodi:
Success rate group search optimiser. J. Exp. Theor. Artif. Intell. 28(1-2): 53-69 (2016) - [j89]Javidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi:
An efficient oscillating inertia weight of particle swarm optimisation for tracking optima in dynamic environments. J. Exp. Theor. Artif. Intell. 28(1-2): 137-149 (2016) - [j88]Babak Nasiri, Mohammad Reza Meybodi:
Improved Speciation-Based Firefly Algorithm in Dynamic and Uncertain Environments. J. Inf. Sci. Eng. 32(3): 661-676 (2016) - [j87]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
An approach for designing cognitive engines in cognitive peer-to-peer networks. J. Netw. Comput. Appl. 70: 17-40 (2016) - [j86]Ali Mohammad Saghiri, Mohammad Reza Meybodi:
A Self-adaptive Algorithm for Topology Matching in Unstructured Peer-to-Peer Networks. J. Netw. Syst. Manag. 24(2): 393-426 (2016) - [j85]Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
A new memetic algorithm based on cellular learning automata for solving the vertex coloring problem. Memetic Comput. 8(3): 211-222 (2016) - [j84]Bahman Damerchilu, Mohammad Sadegh Norouzzadeh, Mohammad Reza Meybodi:
Motion estimation using learning automata. Mach. Vis. Appl. 27(7): 1047-1061 (2016) - [j83]Alireza Rezvanian, Mohammad Reza Meybodi:
Sampling algorithms for weighted networks. Soc. Netw. Anal. Min. 6(1): 60:1-60:22 (2016) - 2015
- [j82]Ali Sharifi, Javidan Kazemi Kordestani, Mahshid Mahdaviani, Mohammad Reza Meybodi:
A novel hybrid adaptive collaborative approach based on particle swarm optimization and local search for dynamic optimization problems. Appl. Soft Comput. 32: 432-448 (2015) - [j81]Alireza Rezvanian, Mohammad Reza Meybodi:
Finding Minimum Vertex Covering in Stochastic Graphs: A Learning Automata Approach. Cybern. Syst. 46(8): 698-727 (2015) - [j80]Abbas Rasoolzadegan, Rohollah Alesheykh, Mohammad Reza Meybodi:
A new approach to active rule scheduling. Eng. Appl. Artif. Intell. 39: 55-79 (2015) - [j79]