A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables. - Mojtaba Ghasemi; Sahand Ghavidel; Mohammad Mehdi Ghanbarian; Amir Habibi (Appl. Soft Comput., 2014)

A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions. - Mojtaba Ghasemi; Sahand Ghavidel; Shima Rahmani; Alireza Roosta; Hasan Falah (Eng. Appl. Artif. Intell., 2014)

Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: A comparative study. - Mojtaba Ghasemi; Sahand Ghavidel; Mohammad Mehdi Ghanbarian; Hamid Reza Massrur; Masihallah Gharibzadeh (Inf. Sci., 2014)

Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study. - Mojtaba Ghasemi; Mohammad Mehdi Ghanbarian; Sahand Ghavidel; Shima Rahmani; Esmaeil Mahboubi Moghaddam (Inf. Sci., 2014)

Solving optimal reactive power dispatch problem using a novel teaching-learning-based optimization algorithm. - Mojtaba Ghasemi; Mahdi Taghizadeh; Sahand Ghavidel; Jamshid Aghaei; Abbas Abbasian (Eng. Appl. Artif. Intell., 2015)

Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm. - Mojtaba Ghasemi; Sahand Ghavidel; Mohammad Mehdi Ghanbarian; Mohsen Gitizadeh (Inf. Sci., 2015)

Colonial competitive differential evolution: An experimental study for optimal economic load dispatch. - Mojtaba Ghasemi; Mahdi Taghizadeh; Sahand Ghavidel; Abbas Abbasian (Appl. Soft Comput., 2016)

A new solution to the non-convex economic load dispatch problems using phasor particle swarm optimization. - Maedeh Gholamghasemi; Ebrahim Akbari; Mohammad Bagher Asadpoor; Mojtaba Ghasemi (Appl. Soft Comput., 2019)

Phasor particle swarm optimization: a simple and efficient variant of PSO. - Mojtaba Ghasemi; Ebrahim Akbari; Abolfazl Rahimnejad; Seyed-Ehsan Razavi; Sahand Ghavidel; Li Li 031 (Soft Comput., 2019)

A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO). - Mojtaba Ghasemi; Iraj Faraji Davoudkhani; Ebrahim Akbari; Abolfazl Rahimnejad; Sahand Ghavidel; Li Li 031 (Eng. Appl. Artif. Intell., 2020)

Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese. - Mojtaba Ghasemi; Abolfazl Rahimnejad; Rasul Hemmati; Ebrahim Akbari; S. Andrew Gadsden (Array, 2021)

A Comparative Study of the Coulomb's and Franklin's Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization. - Mojtaba Ghasemi; Mohsen Zare; Amir Zahedi; Rasul Hemmati; Laith Abualigah; Agostino Forestiero (PerSOM, 2022)

Application of Coulomb's and Franklin's laws algorithm to solve large-scale optimal reactive power dispatch problems. - Mojtaba Ghasemi; Ebrahim Akbari; Iraj Faraji Davoudkhani; Abolfazl Rahimnejad; Mohammad Bagher Asadpoor; Stephen Andrew Gadsden (Soft Comput., 2022)

A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA). - Mojtaba Ghasemi; Abolfazl Rahimnejad; Ebrahim Akbari; Ravipudi Venkata Rao; Pavel Trojovský; Eva Trojovská; Stephen Andrew Gadsden (PeerJ Comput. Sci., 2023)

A hybridizing-enhanced differential evolution for optimization. - Mojtaba Ghasemi; Mohsen Zare; Pavel Trojovský; Amir Zahedibialvaei; Eva Trojovská (PeerJ Comput. Sci., 2023)

Solution of optimal reactive power dispatch by Lévy-flight phasor particle swarm optimization. - Milad Gil; Ebrahim Akbari; Abolfazl Rahimnejad; Mojtaba Ghasemi; S. Andrew Gadsden (Intell. Syst. Appl., 2024)

Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm. - Mojtaba Ghasemi; Mohsen Zare; Pavel Trojovský; Ravipudi Venkata Rao; Eva Trojovská; Venkatachalam Kandasamy (Knowl. Based Syst., 2024)

Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization. - Mojtaba Ghasemi; Keyvan Golalipour; Mohsen Zare; Seyedali Mirjalili; Pavel Trojovský; Laith Abualigah; Rasul Hemmati (J. Supercomput., 2024)

Birds of prey-based optimization (BPBO): a metaheuristic algorithm for optimization. - Mojtaba Ghasemi; Mohammad Amin Akbari; Mohsen Zare; Seyedali Mirjalili; Mohamed Deriche 001; Laith Abualigah; Nima Khodadadi (Evol. Intell., 2025)

Kirchhoff's law algorithm (KLA): a novel physics-inspired non-parametric metaheuristic algorithm for optimization problems. - Mojtaba Ghasemi; Nima Khodadadi; Pavel Trojovský; Li Li 031; Zulkefli Mansor; Laith Abualigah; Amal H. Alharbi; El-Sayed M. El-Kenawy (Artif. Intell. Rev., 2025)