Mojtaba Ghasemi

20 papers Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Birds of prey-based optimization (BPBO): a metaheuristic algorithm for optimization.
Evol. Intell.
Mojtaba Ghasemi, Mohammad Amin Akbari, Mohsen Zare, Seyedali Mirjalili, Mohamed Deriche, Laith Abualigah, Nima Khodadadi
2025 J jnl
Kirchhoff's law algorithm (KLA): a novel physics-inspired non-parametric metaheuristic algorithm for optimization problems.
Artif. Intell. Rev.
Mojtaba Ghasemi, Nima Khodadadi, Pavel Trojovský, Li Li, Zulkefli Mansor, Laith Abualigah, Amal H. Alharbi, El-Sayed M. El-Kenawy
2024 J jnl
Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization.
J. Supercomput.
Mojtaba Ghasemi, Keyvan Golalipour, Mohsen Zare, Seyedali Mirjalili, Pavel Trojovský, Laith Abualigah, Rasul Hemmati
2024 J jnl
Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm.
Knowl. Based Syst.
Mojtaba Ghasemi, Mohsen Zare, Pavel Trojovský, Ravipudi Venkata Rao, Eva Trojovská, Venkatachalam Kandasamy
2024 J jnl
Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization.
Intell. Syst. Appl.
Milad Gil, Ebrahim Akbari, Abolfazl Rahimnejad, Mojtaba Ghasemi, S. Andrew Gadsden
2023 J jnl
A hybridizing-enhanced differential evolution for optimization.
PeerJ Comput. Sci.
Mojtaba Ghasemi, Mohsen Zare, Pavel Trojovský, Amir Zahedibialvaei, Eva Trojovská
2023 J jnl
A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA).
PeerJ Comput. Sci.
Mojtaba Ghasemi, Abolfazl Rahimnejad, Ebrahim Akbari, Ravipudi Venkata Rao, Pavel Trojovský, Eva Trojovská, Stephen Andrew Gadsden
2022 — conf
A Comparative Study of the Coulomb's and Franklin's Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization.
PerSOM
Mojtaba Ghasemi, Mohsen Zare, Amir Zahedi, Rasul Hemmati, Laith Abualigah, Agostino Forestiero
2022 J jnl
Application of Coulomb's and Franklin's laws algorithm to solve large-scale optimal reactive power dispatch problems.
Soft Comput.
Mojtaba Ghasemi, Ebrahim Akbari, Iraj Faraji Davoudkhani, Abolfazl Rahimnejad, Mohammad Bagher Asadpoor, Stephen Andrew Gadsden
2021 J jnl
Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese.
Array
Mojtaba Ghasemi, Abolfazl Rahimnejad, Rasul Hemmati, Ebrahim Akbari, S. Andrew Gadsden
2020 J jnl
A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO).
Eng. Appl. Artif. Intell.
Mojtaba Ghasemi, Iraj Faraji Davoudkhani, Ebrahim Akbari, Abolfazl Rahimnejad, Sahand Ghavidel, Li Li
2019 J jnl
A new solution to the non-convex economic load dispatch problems using phasor particle swarm optimization.
Appl. Soft Comput.
Maedeh Gholamghasemi, Ebrahim Akbari, Mohammad Bagher Asadpoor, Mojtaba Ghasemi
2019 J jnl
Phasor particle swarm optimization: a simple and efficient variant of PSO.
Soft Comput.
Mojtaba Ghasemi, Ebrahim Akbari, Abolfazl Rahimnejad, Seyed-Ehsan Razavi, Sahand Ghavidel, Li Li
2016 J jnl
Colonial competitive differential evolution: An experimental study for optimal economic load dispatch.
Appl. Soft Comput.
Mojtaba Ghasemi, Mahdi Taghizadeh, Sahand Ghavidel, Abbas Abbasian
2015 J jnl
Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm.
Inf. Sci.
Mojtaba Ghasemi, Sahand Ghavidel, Mohammad Mehdi Ghanbarian, Mohsen Gitizadeh
2015 J jnl
Solving optimal reactive power dispatch problem using a novel teaching-learning-based optimization algorithm.
Eng. Appl. Artif. Intell.
Mojtaba Ghasemi, Mahdi Taghizadeh, Sahand Ghavidel, Jamshid Aghaei, Abbas Abbasian
2014 J jnl
A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables.
Appl. Soft Comput.
Mojtaba Ghasemi, Sahand Ghavidel, Mohammad Mehdi Ghanbarian, Amir Habibi
2014 J jnl
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.
Mojtaba Ghasemi, Sahand Ghavidel, Shima Rahmani, Alireza Roosta, Hasan Falah
2014 J jnl
Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: A comparative study.
Inf. Sci.
Mojtaba Ghasemi, Sahand Ghavidel, Mohammad Mehdi Ghanbarian, Hamid Reza Massrur, Masihallah Gharibzadeh
2014 J jnl
Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study.
Inf. Sci.
Mojtaba Ghasemi, Mohammad Mehdi Ghanbarian, Sahand Ghavidel, Shima Rahmani, Esmaeil Mahboubi Moghaddam