Sepehr Ebrahimi Mood

According to our database, Sepehr Ebrahimi Mood authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Increasing the accuracy of an extreme learning machine using a chaos particle swarm optimization algorithm.

Ghulam Rabani Romal Rasa, Sepehr Ebrahimi Mood, Elham Abbasi

Evol. Syst., February, 2026

FSMA: a Fuzzy-enhanced SMA for enhanced multi-objective task scheduling in IoT cloud-edge systems.

Hossein Azadi Kheirabadi, Pedram Salehpour, Sepehr Ebrahimi Mood, Alireza Souri

Computing, January, 2026

2025

A novel gallop operator for horse herd optimization algorithm: application to feature selection of safety defect prediction in UAV.

Sepehr Ebrahimi Mood, Alireza Souri, Nihat Inanç, Mu-Yen Chen

Clust. Comput., November, 2025

Enhanced multi-objective cuckoo search with migration operator for benchmark optimization and IoT task scheduling in cloud-fog computing.

Fatemeh BahraniPour, Mohammad Farshi, Sepehr Ebrahimi Mood

J. Supercomput., June, 2025

CEEO: an innovative Coulomb-enhanced Equilibrium Optimizer for task scheduling of cloud services in IoT environments.

Sepehr Ebrahimi Mood, Alireza Souri, Nihat Inanç, Kuan-Ching Li

Computing, June, 2025

Security-aware resource allocation in fog computing using a meta-heuristic algorithm.

Mina Mohammadi, Fatemeh BahraniPour, Sepehr Ebrahimi Mood, Mohammad Farshi

Clust. Comput., April, 2025

Evolutionary recurrent neural network based on equilibrium optimization method for cloud-edge resource management in internet of things.

Sepehr Ebrahimi Mood, Adel Rouhbakhsh, Alireza Souri

Neural Comput. Appl., 2025

Wide Frequency Multiphase Oscillator Designed by Coupling Two Identical Ring Voltage Controlled Oscillators.

Mohammad Jafar Hemmati, Sepehr Ebrahimi Mood, Somayeh Zarei Dehnavi

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.

Sayed Zabihullah Musawi, Mohammad Farshi, Sepehr Ebrahimi Mood, Alireza Souri

Concurr. Comput. Pract. Exp., 2025

2024

Tournament based equilibrium optimization for minimizing energy consumption on dynamic task scheduling in cloud-edge computing.

Alireza Souri, Sepehr Ebrahimi Mood, Mingliang Gao, Kuan-Ching Li

Clust. Comput., September, 2024

Energy-delay aware request scheduling in hybrid Cloud and Fog computing using improved multi-objective CS algorithm.

Fatemeh BahraniPour, Sepehr Ebrahimi Mood, Mohammad Farshi

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.

Jamal Zarepour-Ahmadabadi, Sepehr Ebrahimi Mood, Alireza Souri

IEEE Trans. Consumer Electron., February, 2024

2023

Design optimization of the complementary voltage controlled oscillator using a multi-objective gravitational search algorithm.

Sepehr Ebrahimi Mood, Mohammad Jafar Hemmati

Evol. Syst., February, 2023

Directed Search: A New Operator in NSGA-II for Task Scheduling in IoT Based on Cloud-Fog Computing.

Soghra Mousavi, Sepehr Ebrahimi Mood, Alireza Souri, Mohammad Masoud Javidi

IEEE Trans. Cloud Comput., 2023

2021

Performance optimization of UAV-based IoT communications using a novel constrained gravitational search algorithm.

Sepehr Ebrahimi Mood, Ming Ding, Zihuai Lin, Mohammad Masoud Javidi

Neural Comput. Appl., 2021

2020

Energy-efficient clustering method for wireless sensor networks using modified gravitational search algorithm.

Sepehr Ebrahimi Mood, Mohammad Masoud Javidi

Evol. Syst., 2020

2019

A modified gravitational search algorithm and its application in lifetimemaximization of wireless sensor networks.

Sepehr Ebrahimi Mood, Mohammad Masoud Javidi

Turkish J. Electr. Eng. Comput. Sci., 2019

Rank-Based Gravitational Search Algorithm: a Novel Nature-Inspired Optimization Algorithm for Wireless Sensor Networks Clustering.

Sepehr Ebrahimi Mood, Mohammad Masoud Javidi

Cogn. Comput., 2019