Sepehr Ebrahimi Mood
Orcid: 0000-0003-3364-4251
According to our database1,
Sepehr Ebrahimi Mood
authored at least 14 papers
between 2019 and 2025.
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Bibliography
2025
Enhanced multi-objective cuckoo search with migration operator for benchmark optimization and IoT task scheduling in cloud-fog computing.
J. Supercomput., June, 2025
CEEO: an innovative Coulomb-enhanced Equilibrium Optimizer for task scheduling of cloud services in IoT environments.
Computing, June, 2025
Security-aware resource allocation in fog computing using a meta-heuristic algorithm.
Clust. Comput., April, 2025
Wide Frequency Multiphase Oscillator Designed by Coupling Two Identical Ring Voltage Controlled Oscillators.
Int. J. Circuit Theory Appl., 2025
Enhancing the Harris Hawks Optimization Algorithm With Ambush-Based Operators for Feature Selection in UAV-Based Intrusion Detection Systems.
Concurr. Comput. Pract. Exp., 2025
2024
Tournament based equilibrium optimization for minimizing energy consumption on dynamic task scheduling in cloud-edge computing.
Clust. Comput., September, 2024
Energy-delay aware request scheduling in hybrid Cloud and Fog computing using improved multi-objective CS algorithm.
Soft Comput., March, 2024
Star-Quake: A New Operator in Multi-Objective Gravitational Search Algorithm for Task Scheduling in IoT-Based Cloud-Fog Computing System.
IEEE Trans. Consumer Electron., February, 2024
2023
Design optimization of the complementary voltage controlled oscillator using a multi-objective gravitational search algorithm.
Evol. Syst., February, 2023
Directed Search: A New Operator in NSGA-II for Task Scheduling in IoT Based on Cloud-Fog Computing.
IEEE Trans. Cloud Comput., 2023
2021
Performance optimization of UAV-based IoT communications using a novel constrained gravitational search algorithm.
Neural Comput. Appl., 2021
2020
Energy-efficient clustering method for wireless sensor networks using modified gravitational search algorithm.
Evol. Syst., 2020
2019
A modified gravitational search algorithm and its application in lifetimemaximization of wireless sensor networks.
Turkish J. Electr. Eng. Comput. Sci., 2019
Rank-Based Gravitational Search Algorithm: a Novel Nature-Inspired Optimization Algorithm for Wireless Sensor Networks Clustering.
Cogn. Comput., 2019