Sepehr Ebrahimi Mood

According to our database, Sepehr Ebrahimi Mood authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

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