Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm M Ghasemi, S Ghavidel, MM Ghanbarian, M Gharibzadeh, AA Vahed Energy 78, 276-289, 2014 | 217 | 2014 |
Phasor particle swarm optimization: a simple and efficient variant of PSO M Ghasemi, E Akbari, A Rahimnejad, SE Razavi, S Ghavidel, L Li Soft Computing 23, 9701-9718, 2019 | 202 | 2019 |
An improved teaching–learning-based optimization algorithm using Lévy mutation strategy for non-smooth optimal power flow M Ghasemi, S Ghavidel, M Gitizadeh, E Akbari International Journal of Electrical Power & Energy Systems 65, 375-384, 2015 | 194 | 2015 |
A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions M Ghasemi, S Ghavidel, S Rahmani, A Roosta, H Falah Engineering Applications of Artificial Intelligence 29, 54-69, 2014 | 173 | 2014 |
Solving optimal reactive power dispatch problem using a novel teaching–learning-based optimization algorithm M Ghasemi, M Taghizadeh, S Ghavidel, J Aghaei, A Abbasian Engineering Applications of Artificial Intelligence 39, 100-108, 2015 | 147 | 2015 |
Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: a comparative study M Ghasemi, MM Ghanbarian, S Ghavidel, S Rahmani, EM Moghaddam Information Sciences 278, 231-249, 2014 | 146 | 2014 |
A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables M Ghasemi, S Ghavidel, MM Ghanbarian, A Habibi Applied soft computing 22, 126-140, 2014 | 141 | 2014 |
Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm M Ghasemi, S Ghavidel, MM Ghanbarian, M Gitizadeh Information Sciences 294, 286-304, 2015 | 130 | 2015 |
Solving non-linear, non-smooth and non-convex optimal power flow problems using chaotic invasive weed optimization algorithms based on chaos M Ghasemi, S Ghavidel, E Akbari, AA Vahed Energy 73, 340-353, 2014 | 128 | 2014 |
A differential evolution particle swarm optimizer for various types of multi-area economic dispatch problems M Ghasemi, J Aghaei, E Akbari, S Ghavidel, L Li Energy 107, 182-195, 2016 | 124 | 2016 |
A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO) M Ghasemi, IF Davoudkhani, E Akbari, A Rahimnejad, S Ghavidel, L Li Engineering Applications of Artificial Intelligence 92, 103666, 2020 | 119 | 2020 |
Colonial competitive differential evolution: an experimental study for optimal economic load dispatch M Ghasemi, M Taghizadeh, S Ghavidel, A Abbasian Applied Soft Computing 40, 342-363, 2016 | 116 | 2016 |
Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: a comparative study M Ghasemi, S Ghavidel, MM Ghanbarian, HR Massrur, M Gharibzadeh Information Sciences 281, 225-247, 2014 | 108 | 2014 |
A new solution to the non-convex economic load dispatch problems using phasor particle swarm optimization M Gholamghasemi, E Akbari, MB Asadpoor, M Ghasemi Applied Soft Computing 79, 111-124, 2019 | 102 | 2019 |
A global best-guided firefly algorithm for engineering problems M Zare, M Ghasemi, A Zahedi, K Golalipour, SK Mohammadi, S Mirjalili, ... Journal of Bionic Engineering 20 (5), 2359-2388, 2023 | 93 | 2023 |
An efficient modified HPSO-TVAC-based dynamic economic dispatch of generating units M Ghasemi, E Akbari, M Zand, M Hadipour, S Ghavidel, L Li Electric Power Components and Systems 47 (19-20), 1826-1840, 2019 | 81 | 2019 |
Geyser inspired algorithm: a new geological-inspired meta-heuristic for real-parameter and constrained engineering optimization M Ghasemi, M Zare, A Zahedi, MA Akbari, S Mirjalili, L Abualigah Journal of Bionic Engineering 21 (1), 374-408, 2024 | 74 | 2024 |
CFA optimizer: A new and powerful algorithm inspired by Franklin's and Coulomb's laws theory for solving the economic load dispatch problems M Ghasemi, S Ghavidel, J Aghaei, E Akbari, L Li International Transactions on Electrical Energy Systems 28 (5), e2536, 2018 | 57 | 2018 |
New self‐organising hierarchical PSO with jumping time‐varying acceleration coefficients M Ghasemi, J Aghaei, M Hadipour Electronics Letters 53 (20), 1360-1362, 2017 | 53 | 2017 |
A new firefly algorithm with improved global exploration and convergence with application to engineering optimization M Ghasemi, S kadkhoda Mohammadi, M Zare, S Mirjalili, M Gil, ... Decision Analytics Journal 5, 100125, 2022 | 44 | 2022 |