Mojtaba Ghasemi

Affiliations:
  • Shiraz University of Technology, Iran


According to our database1, Mojtaba Ghasemi authored at least 15 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A hybridizing-enhanced differential evolution for optimization.
PeerJ Comput. Sci., 2023

A new metaphor-less simple algorithm based on Rao algorithms: a Fully Informed Search Algorithm (FISA).
PeerJ Comput. Sci., 2023

2022
Application of Coulomb's and Franklin's laws algorithm to solve large-scale optimal reactive power dispatch problems.
Soft Comput., December, 2022

A Comparative Study of the Coulomb's and Franklin's Laws Inspired Algorithm (CFA) with Modern Evolutionary Algorithms for Numerical Optimization.
Proceedings of the Pervasive Knowledge and Collective Intelligence on Web and Social Media, 2022

2021
Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese.
Array, 2021

2020
A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO).
Eng. Appl. Artif. Intell., 2020

2019
Phasor particle swarm optimization: a simple and efficient variant of PSO.
Soft Comput., 2019

A new solution to the non-convex economic load dispatch problems using phasor particle swarm optimization.
Appl. Soft Comput., 2019

2016
Colonial competitive differential evolution: An experimental study for optimal economic load dispatch.
Appl. Soft Comput., 2016

2015
Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm.
Inf. Sci., 2015

Solving optimal reactive power dispatch problem using a novel teaching-learning-based optimization algorithm.
Eng. Appl. Artif. Intell., 2015

2014
Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study.
Inf. Sci., 2014

Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: A comparative study.
Inf. Sci., 2014

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., 2014

A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables.
Appl. Soft Comput., 2014


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