Mohammad Reza Meybodi - researchr alias

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Viewing Publication 1 - 100 from 251

2024

Q-Defense: When Q-Learning Comes to Help Proof-of-Work Against the Selfish Mining AttackAli Nikhalat Jahromi, Ali Mohammad Saghiri, Mohammad Reza Meybodi. icaart 2024: 37-46 [doi]

2022

Cellular Goore Game and its application to quality-of-service control in wireless sensor networksReyhaneh Ameri, Mohammad Reza Meybodi, Mohammad Mehdi Daliri Khomami. tjs, 78(13):15181-15228, 2022. [doi]

Cellular goore game with application to finding maximum clique in social networksMohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi, Reyhaneh Ameri. jcde, 9(3):966-991, 2022. [doi]

A new multi-wave continuous action-set cellular learning automata for link prediction problem in weighted multi-layer social networksMozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh. tjs, 78(17):18636-18665, 2022. [doi]

Bifurcated particle swarm optimizer with topology learning particlesReza Vafashoar, Hossein Morshedlou, Mohammad Reza Meybodi. asc, 114:108039, 2022. [doi]

A New Evolutionary Model Based on Cellular Learning Automata and Chaos TheoryBagher Zarei, Mohammad Reza Meybodi, Behrooz Masoumi. ngc, 40(1):285-310, 2022. [doi]

2021

A self-adaptive algorithm for super-peer selection considering the mobility of peers in cognitive mobile peer-to-peer networksNahid Amirazodi, Ali Mohammad Saghiri, Mohammad Reza Meybodi. ijcomsys, 34(1), 2021. [doi]

A sampling method based on distributed learning automata for solving stochastic shortest path problemHamid Beigy, Mohammad Reza Meybodi. kbs, 212:106638, 2021. [doi]

A competition-based pricing strategy in Cloud markets using regret minimisation techniquesSafiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani. ijguc, 12(5/6):635-654, 2021. [doi]

A dynamic sampling algorithm based on learning automata for stochastic trust networksMina Ghavipour, Mohammad Reza Meybodi. kbs, 212:106620, 2021. [doi]

Solving Minimum Dominating Set in Multiplex Networks Using Learning AutomataMohammad Mehdi Daliri Khomami, Alireza Rezvanian, Ali Mohammad Saghiri, Mohammad Reza Meybodi. csicc 2021: 1-6 [doi]

CFIN: A community-based algorithm for finding influential nodes in complex social networksMohammad Mehdi Daliri Khomami, Alireza Rezvanian, Mohammad Reza Meybodi, Alireza Bagheri. tjs, 77(3):2207-2236, 2021. [doi]

Advances in Learning Automata and Intelligent OptimizationJavidan Kazemi Kordestani, Mehdi Razapoor Mirsaleh, Alireza Rezvanian, Mohammad Reza Meybodi. Volume 208 of Intelligent Systems Reference Library, Springer, 2021. [doi]

A Two-Level Function Evaluation Management Model for Multi-Population Methods in Dynamic Environments: Hierarchical Learning Automata ApproachJavidan Kazemi Kordestani, Mohammad Reza Meybodi, Amir Masoud Rahmani. jetai, 33(1):1-26, 2021. [doi]

A new irregular cellular learning automata-based evolutionary computation for time series link prediction in social networksMozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh. apin, 51(1):71-84, 2021. [doi]

A variable action set cellular learning automata-based algorithm for link prediction in online social networksMozhdeh Khaksar Manshad, Mohammad Reza Meybodi, Afshin Salajegheh. tjs, 77(7):7620-7648, 2021. [doi]

Cellular Learning Automata: Theory and ApplicationsReza Vafashoar, Hossein Morshedlou, Alireza Rezvanian, Mohammad Reza Meybodi. Volume 307 of Springer, 2021. [doi]

Improving learning ability of learning automata using chaos theoryBagher Zarei, Mohammad Reza Meybodi. tjs, 77(1):652-678, 2021. [doi]

2020

An iterative stochastic algorithm based on distributed learning automata for finding the stochastic shortest path in stochastic graphsHamid Beigy, Mohammad Reza Meybodi. tjs, 76(7):5540-5562, 2020. [doi]

Using Time-Location Tags and Watchdog Nodes to Defend Against Node Replication Attack in Mobile Wireless Sensor NetworksMojtaba Jamshidi, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi. ijwin, 27(1):102-115, 2020. [doi]

A simple, lightweight, and precise algorithm to defend against replica node attacks in mobile wireless networks using neighboring informationMojtaba Jamshidi, Shokooh Sheikh Abooli Poor, Abbas Arghavani, Mehdi Esnaashari, Abdusalam Abdulla Shaltooki, Mohammad Reza Meybodi. adhoc, 100:102081, 2020. [doi]

A note on the exclusion operator in multi-swarm PSO algorithms for dynamic environmentsJavidan Kazemi Kordestani, Mohammad Reza Meybodi, Amir Masoud Rahmani. connection, 32(3):239-263, 2020. [doi]

A multi-population differential evolution algorithm based on cellular learning automata and evolutionary context information for optimization in dynamic environmentsReza Vafashoar, Mohammad Reza Meybodi. asc, 88:106009, 2020. [doi]

Detecting community structure in complex networks using genetic algorithm based on object migrating automataBagher Zarei, Mohammad Reza Meybodi. ci, 36(2):824-860, 2020. [doi]

2019

RMRL: improved regret minimisation techniques using learning automataSafiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani. jetai, 31(3):441-454, 2019. [doi]

Stochastic trust network enriched by similarity relations to enhance trust-aware recommendationsMina Ghavipour, Mohammad Reza Meybodi. apin, 49(2):435-448, 2019. [doi]

Detecting Sybil nodes in stationary wireless sensor networks using learning automaton and client puzzlesMojtaba Jamshidi, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi. iet-com, 13(13):1988-1997, 2019. [doi]

A New Algorithm to Defend Against Sybil Attack in Static Wireless Sensor Networks Using Mobile Observer Sensor NodesMojtaba Jamshidi, Milad Ranjbari, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi. ahswn, 43(3-4):213-238, 2019. [doi]

A Novel Model of Sybil Attack in Cluster-Based Wireless Sensor Networks and Propose a Distributed Algorithm to Defend ItMojtaba Jamshidi, Ehsan Zangeneh, Mehdi Esnaashari, Aso Mohammad Darwesh, Mohammad Reza Meybodi. wpc, 105(1):145-173, 2019. [doi]

A novel framework for improving multi-population algorithms for dynamic optimization problems: A scheduling approachJavidan Kazemi Kordestani, Amir Ehsan Ranginkaman, Mohammad Reza Meybodi, Pavel Novoa-Hernández. swevo, 44:788-805, 2019. [doi]

New measures for comparing optimization algorithms on dynamic optimization problemsJavidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi. nc, 18(4):705-720, 2019. [doi]

Restricted Convolutional Neural NetworksMehran Mirkhan, Mohammad Reza Meybodi. npl, 50(2):1705-1733, 2019. [doi]

Learning Automata Approach for Social NetworksAlireza Rezvanian, Behnaz Moradabadi, Mina Ghavipour, Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi. Volume 820 of Studies in Computational Intelligence, Springer, 2019. [doi]

Reinforcement learning in learning automata and cellular learning automata via multiple reinforcement signalsReza Vafashoar, Mohammad Reza Meybodi. kbs, 169:1-27, 2019. [doi]

Cellular learning automata based bare bones PSO with maximum likelihood rotated mutationsReza Vafashoar, Mohammad Reza Meybodi. swevo, 44:680-694, 2019. [doi]

GAPN-LA: A framework for solving graph problems using Petri nets and learning automataSeyed Mehdi Vahidipour, Mehdi Esnaashari, Alireza Rezvanian, Mohammad Reza Meybodi. eaai, 77:255-267, 2019. [doi]

2018

An adaptive algorithm for super-peer selection considering peer's capacity in mobile peer-to-peer networks based on learning automataNahid Amirazodi, Ali Mohammad Saghiri, Mohammad Reza Meybodi. ppna, 11(1):74-89, 2018. [doi]

An adaptive channel assignment in wireless mesh network: The learning automata approachZiaeddin Beheshtifard, Mohammad Reza Meybodi. cee, 72:79-91, 2018. [doi]

Cellular teaching-learning-based optimization approach for dynamic multi-objective problemsAmin Birashk, Javidan Kazemi Kordestani, Mohammad Reza Meybodi. kbs, 141:148-177, 2018. [doi]

Dynamic irregular cellular learning automataMehdi Esnaashari, Mohammad Reza Meybodi. jocs, 24:358-370, 2018. [doi]

A cost-aware mechanism for optimized resource provisioning in cloud computingSafiye Ghasemi, Mohammad Reza Meybodi, Mehdi Dehghan Takht Fooladi, Amir Masoud Rahmani. cluster, 21(2):1381-1394, 2018. [doi]

A dynamic algorithm for stochastic trust propagation in online social networks: Learning automata approachMina Ghavipour, Mohammad Reza Meybodi. comcom, 123:11-23, 2018. [doi]

A streaming sampling algorithm for social activity networks using fixed structure learning automataMina Ghavipour, Mohammad Reza Meybodi. apin, 48(4):1054-1081, 2018. [doi]

Trust propagation algorithm based on learning automata for inferring local trust in online social networksMina Ghavipour, Mohammad Reza Meybodi. kbs, 143:307-316, 2018. [doi]

Congestion avoidance in cognitive wireless sensor networks using TOPSIS and response surface methodologyMajid Gholipour, A. T. Haghighat, Mohammad Reza Meybodi. telsys, 67(3):519-537, 2018. [doi]

Barrier coverage in adjustable-orientation directional sensor networks: A learning automata approachMohammad Khanjary, Masoud Sabaei, Mohammad Reza Meybodi. cee, 72:859-876, 2018. [doi]

Minimum positive influence dominating set and its application in influence maximization: a learning automata approachMohammad Mehdi Daliri Khomami, Alireza Rezvanian, Negin Bagherpour, Mohammad Reza Meybodi. apin, 48(3):570-593, 2018. [doi]

A new cellular learning automata-based algorithm for community detection in complex social networksMohammad Mehdi Daliri Khomami, Alireza Rezvanian, Mohammad Reza Meybodi. jocs, 24:413-426, 2018. [doi]

An adaptive bi-flight cuckoo search with variable nests for continuous dynamic optimization problemsJavidan Kazemi Kordestani, Hossein Abedi Firouzjaee, Mohammad Reza Meybodi. apin, 48(1):97-117, 2018. [doi]

A Michigan memetic algorithm for solving the vertex coloring problemMehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi. jocs, 24:389-401, 2018. [doi]

Assignment of cells to switches in cellular mobile network: a learning automata-based memetic algorithmMehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi. apin, 48(10):3231-3247, 2018. [doi]

Balancing exploration and exploitation in memetic algorithms: A learning automata approachMehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi. ci, 34(1):282-309, 2018. [doi]

Link prediction in stochastic social networks: Learning automata approachBehnaz Moradabadi, Mohammad Reza Meybodi. jocs, 24:313-328, 2018. [doi]

Link prediction in weighted social networks using learning automataBehnaz Moradabadi, Mohammad Reza Meybodi. eaai, 70:16-24, 2018. [doi]

Insurance for Improving User Satisfaction LevelHossein Morshedlou, Mohammad Reza Meybodi. bise, 60(6):513-524, 2018. [doi]

A new learning automata based approach for increasing utility of service providersHossein Morshedlou, Mohammad Reza Meybodi. ijcomsys, 31(3), 2018. [doi]

Recent Advances in Learning AutomataAlireza Rezvanian, Ali Mohammad Saghiri, Seyed Mehdi Vahidipour, Mehdi Esnaashari, Mohammad Reza Meybodi. Volume 754 of Studies in Computational Intelligence, Springer, 2018. [doi]

Open asynchronous dynamic cellular learning automata and its application to allocation hub location problemAli Mohammad Saghiri, Mohammad Reza Meybodi. kbs, 139:149-169, 2018. [doi]

An adaptive super-peer selection algorithm considering peers capacity utilizing asynchronous dynamic cellular learning automataAli Mohammad Saghiri, Mohammad Reza Meybodi. apin, 48(2):271-299, 2018. [doi]

On expediency of Closed Asynchronous Dynamic Cellular Learning AutomataAli Mohammad Saghiri, Mohammad Reza Meybodi. jocs, 24:371-378, 2018. [doi]

Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platformsAzam Shirali, Javidan Kazemi Kordestani, Mohammad Reza Meybodi. gpem, 19(4):505-534, 2018. [doi]

Multi swarm optimization algorithm with adaptive connectivity degreeReza Vafashoar, Mohammad Reza Meybodi. apin, 48(4):909-941, 2018. [doi]

2017

A Delay Aware Super-Peer Selection Algorithm for Gradient Topology Utilizing Learning AutomataSara Fathipour Deiman, Ali Mohammad Saghiri, Mohammad Reza Meybodi. wpc, 95(3):2611-2624, 2017. [doi]

Irregular cellular learning automata-based algorithm for sampling social networksMina Ghavipour, Mohammad Reza Meybodi. eaai, 59:244-259, 2017. [doi]

Bayesian network structure training based on a game of learning automataSoheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh. mlc, 8(4):1093-1105, 2017. [doi]

A new reasoning and learning model for Cognitive Wireless Sensor Networks based on Bayesian networks and learning automata cooperationSoheila Gheisari, Mohammad Reza Meybodi. cn, 124:11-26, 2017. [doi]

Hop-by-Hop Congestion Avoidance in wireless sensor networks based on genetic support vector machineMajid Gholipour, Abolfazl Toroghi Haghighat, Mohammad Reza Meybodi. ijon, 223:63-76, 2017. [doi]

A New Fuzzy Firefly Algorithm with Adaptive ParametersTahereh Hassanzadeh, Mohammad Reza Meybodi, Masoumeh Shahramirad. ijcia, 16(3):1-28, 2017. [doi]

A cross-layer optimization framework for joint channel assignment and multicast routing in multi-channel multi-radio wireless mesh networksMohsen Jahanshahi, Mehdi Dehghan, Mohammad Reza Meybodi. ijcm, 94(8):1624-1652, 2017. [doi]

A lightweight algorithm for detecting mobile Sybil nodes in mobile wireless sensor networksMojtaba Jamshidi, Ehsan Zangeneh, Mehdi Esnaashari, Mohammad Reza Meybodi. cee, 64:220-232, 2017. [doi]

Critical Density in Adjustable-Orientation Directional Sensor Networks Using Continuum PercolationMohammad Khanjary, Masoud Sabaei, Mohammad Reza Meybodi. iccsci 2017: 548-555 [doi]

Link prediction in fuzzy social networks using distributed learning automataBehnaz Moradabadi, Mohammad Reza Meybodi. apin, 47(3):837-849, 2017. [doi]

A New Local Rule for Convergence of ICLA to a Compatible PointHossein Morshedlou, Mohammad Reza Meybodi. tsmc, 47(12):3233-3244, 2017. [doi]

A new learning automata-based sampling algorithm for social networksAlireza Rezvanian, Mohammad Reza Meybodi. ijcomsys, 30(5), 2017. [doi]

Sampling algorithms for stochastic graphs: A learning automata approachAlireza Rezvanian, Mohammad Reza Meybodi. kbs, 127:126-144, 2017. [doi]

learning automata for topology mismatch problem in unstructured peer-to-peer networksAli Mohammad Saghiri, Mohammad Reza Meybodi. ijcomsys, 30(3), 2017. [doi]

A closed asynchronous dynamic model of cellular learning automata and its application to peer-to-peer networksAli Mohammad Saghiri, Mohammad Reza Meybodi. gpem, 18(3):313-349, 2017. [doi]

Topology maintenance of Ad Hoc wireless sensor networks with an optimum distributed power saving scheduling learning automata based algorithmShekufeh Shafeie, Mohammad Reza Meybodi. uemcom 2017: 209-216 [doi]

Finding the Shortest Path in Stochastic Graphs Using Learning Automata and Adaptive Stochastic Petri NetsS. Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari. ijufks, 25(3):427-456, 2017. [doi]

Adaptive Petri net based on irregular cellular learning automata with an application to vertex coloring problemS. Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari. apin, 46(2):272-284, 2017. [doi]

Cellular adaptive Petri net based on learning automata and its application to the vertex coloring problemS. Mehdi Vahidipour, Mohammad Reza Meybodi, Mehdi Esnaashari. deds, 27(4):609-640, 2017. [doi]

2016

Maximal throughput scheduling based on the physical interference model using learning automataZiaeddin Beheshtifard, Mohammad Reza Meybodi. adhoc, 45:65-79, 2016. [doi]

Motion estimation using learning automataBahman Damerchilu, Mohammad Sadegh Norouzzadeh, Mohammad Reza Meybodi. mva, 27(7):1047-1061, 2016. [doi]

An adaptive fuzzy recommender system based on learning automataMina Ghavipour, Mohammad Reza Meybodi. ecra, 20:105-115, 2016. [doi]

LA-CWSN: A learning automata-based cognitive wireless sensor networksSoheila Gheisari, Mohammad Reza Meybodi. comcom, 94:46-56, 2016. [doi]

BNC-PSO: structure learning of Bayesian networks by Particle Swarm OptimizationSoheila Gheisari, Mohammad Reza Meybodi. isci, 348:272-289, 2016. [doi]

BNC-VLA: bayesian network structure learning using a team of variable-action set learning automataSoheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh. apin, 45(1):135-151, 2016. [doi]

Service level agreement based adaptive Grid superschedulingMohammad Hasanzadeh, Omid Jalilian, Alireza Rezvanian, Mohammad Reza Meybodi. fgcs, 55:62-73, 2016. [doi]

Success rate group search optimiserMohammad Hasanzadeh, Sana Sadeghi, Alireza Rezvanian, Mohammad Reza Meybodi. jetai, 28(1-2):53-69, 2016. [doi]

An efficient oscillating inertia weight of particle swarm optimisation for tracking optima in dynamic environmentsJavidan Kazemi Kordestani, Alireza Rezvanian, Mohammad Reza Meybodi. jetai, 28(1-2):137-149, 2016. [doi]

A new memetic algorithm based on cellular learning automata for solving the vertex coloring problemMehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi. memetic, 8(3):211-222, 2016. [doi]

A Michigan memetic algorithm for solving the community detection problem in complex networkMehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi. ijon, 214:535-545, 2016. [doi]

A new real-coded stochastic Bayesian optimization algorithm for continuous global optimizationBehnaz Moradabadi, Mohammad Mahdi Ebadzadeh, Mohammad Reza Meybodi. gpem, 17(2):145-167, 2016. [doi]

History-Driven Particle Swarm Optimization in dynamic and uncertain environmentsBabak Nasiri, Mohammad Reza Meybodi, Mohammad Mehdi Ebadzadeh. ijon, 172:356-370, 2016. [doi]

History-driven firefly algorithm for optimisation in dynamic and uncertain environmentsBabak Nasiri, Mohammad Reza Meybodi. ijbic, 8(5):326-339, 2016. [doi]

Sampling algorithms for weighted networksAlireza Rezvanian, Mohammad Reza Meybodi. snam, 6(1), 2016. [doi]

Stochastic graph as a model for social networksAlireza Rezvanian, Mohammad Reza Meybodi. chb, 64:621-640, 2016. [doi]

A Self-adaptive Algorithm for Topology Matching in Unstructured Peer-to-Peer NetworksAli Mohammad Saghiri, Mohammad Reza Meybodi. jnsm, 24(2):393-426, 2016. [doi]

An approach for designing cognitive engines in cognitive peer-to-peer networksAli Mohammad Saghiri, Mohammad Reza Meybodi. jnca, 70:17-40, 2016. [doi]

Multi swarm bare bones particle swarm optimization with distribution adaptionReza Vafashoar, Mohammad Reza Meybodi. asc, 47:534-552, 2016. [doi]

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