Mojtaba Ghasemi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Differential Evolution

Particle Swarm Optimization

Optimal Power Flow

Top Venues

Eng. Appl. Artif. Intell.

Appl. Soft Comput.

Publications

Milad Gil, Ebrahim Akbari, Abolfazl Rahimnejad, Mojtaba Ghasemi, S. Andrew Gadsden
Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization. Intell. Syst. Appl. 23 (2024)
Mojtaba Ghasemi, Mohsen Zare, Pavel Trojovský, Ravipudi Venkata Rao, Eva Trojovská, Venkatachalam Kandasamy
Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm. Knowl. Based Syst. 295 (2024)
Mojtaba Ghasemi, Abolfazl Rahimnejad, Ebrahim Akbari, Ravipudi Venkata Rao, Pavel Trojovský, Eva Trojovská, Stephen Andrew Gadsden
A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA). PeerJ Comput. Sci. 9 (2023)
Mojtaba Ghasemi, Mohsen Zare, Pavel Trojovský, Amir Zahedibialvaei, Eva Trojovská
A hybridizing-enhanced differential evolution for optimization. PeerJ Comput. Sci. 9 (2023)
Mojtaba Ghasemi, Ebrahim Akbari, Iraj Faraji Davoudkhani, Abolfazl Rahimnejad, Mohammad Bagher Asadpoor, Stephen Andrew Gadsden
Application of Coulomb's and Franklin's laws algorithm to solve large-scale optimal reactive power dispatch problems. Soft Comput. 26 (24) (2022)
Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, Rasul Hemmati, Laith Abualigah, Agostino Forestiero
A Comparative Study of the Coulomb's and Franklin's Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization. PerSOM (2022)
Mojtaba Ghasemi, Abolfazl Rahimnejad, Rasul Hemmati, Ebrahim Akbari, S. Andrew Gadsden
Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese. Array 11 (2021)
Mojtaba Ghasemi, Iraj Faraji Davoudkhani, Ebrahim Akbari, Abolfazl Rahimnejad, Sahand Ghavidel, Li Li
A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO). Eng. Appl. Artif. Intell. 92 (2020)
Maedeh Gholamghasemi, Ebrahim Akbari, Mohammad Bagher Asadpoor, Mojtaba Ghasemi
A new solution to the non-convex economic load dispatch problems using phasor particle swarm optimization. Appl. Soft Comput. 79 (2019)
Mojtaba Ghasemi, Ebrahim Akbari, Abolfazl Rahimnejad, Seyed-Ehsan Razavi, Sahand Ghavidel, Li Li
Phasor particle swarm optimization: a simple and efficient variant of PSO. Soft Comput. 23 (19) (2019)
Mojtaba Ghasemi, Mahdi Taghizadeh, Sahand Ghavidel, Abbas Abbasian
Colonial competitive differential evolution: An experimental study for optimal economic load dispatch. Appl. Soft Comput. 40 (2016)
Mojtaba Ghasemi, Mahdi Taghizadeh, Sahand Ghavidel, Jamshid Aghaei, Abbas Abbasian
Solving optimal reactive power dispatch problem using a novel teaching-learning-based optimization algorithm. Eng. Appl. Artif. Intell. 39 (2015)
Mojtaba Ghasemi, Sahand Ghavidel, Mohammad Mehdi Ghanbarian, Mohsen Gitizadeh
Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm. Inf. Sci. 294 (2015)
Mojtaba Ghasemi, Sahand Ghavidel, Mohammad Mehdi Ghanbarian, Hamid Reza Massrur, Masihallah Gharibzadeh
Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: A comparative study. Inf. Sci. 281 (2014)
Mojtaba Ghasemi, Sahand Ghavidel, Mohammad Mehdi Ghanbarian, Amir Habibi
A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables. Appl. Soft Comput. 22 (2014)
Mojtaba Ghasemi, Mohammad Mehdi Ghanbarian, Sahand Ghavidel, Shima Rahmani, Esmaeil Mahboubi Moghaddam
Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study. Inf. Sci. 278 (2014)
Mojtaba Ghasemi, Sahand Ghavidel, Shima Rahmani, Alireza Roosta, Hasan Falah
A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions. Eng. Appl. Artif. Intell. 29 (2014)