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ORCIDMojtaba Ghasemi
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- affiliation: Shiraz University of Technology, Iran
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2020 – today
- 2024
[j17]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: 200398 (2024)- [j16]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: 111850 (2024) - [j15]Mojtaba Ghasemi, Keyvan Golalipour, Mohsen Zare, Seyedali Mirjalili, Pavel Trojovský, Laith Abualigah, Rasul Hemmati:
Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization. J. Supercomput. 80(15): 22913-23017 (2024) - 2023
- [j14]Mojtaba Ghasemi, Mohsen Zare, Pavel Trojovský, Amir Zahedibialvaei, Eva Trojovská:
A hybridizing-enhanced differential evolution for optimization. PeerJ Comput. Sci. 9: e1420 (2023) - [j13]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: e1431 (2023) - 2022
- [j12]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): 13899-13923 (2022) - [c1]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: 111-124 - 2021
- [j11]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: 100074 (2021) - 2020
- [j10]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: 103666 (2020)
2010 – 2019
- 2019
- [j9]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: 111-124 (2019) - [j8]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): 9701-9718 (2019) - 2016
- [j7]Mojtaba Ghasemi, Mahdi Taghizadeh, Sahand Ghavidel, Abbas Abbasian:
Colonial competitive differential evolution: An experimental study for optimal economic load dispatch. Appl. Soft Comput. 40: 342-363 (2016) - 2015
- [j6]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: 100-108 (2015) - [j5]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: 286-304 (2015) - 2014
- [j4]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: 126-140 (2014) - [j3]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: 54-69 (2014) - [j2]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: 231-249 (2014) - [j1]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: 225-247 (2014)
Coauthor Index
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