@article{Namadchian_Ramezani_Razmjooy_2024, title={A New Meta-Heuristic Algorithm for Optimization Based on Variance Reduction of Gaussian Distribution}, volume={10}, url={https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/a-new-meta-heuristic-algorithm-for-optimization-based-on-variance-reduction-of-gaussian-distribution/}, abstractNote={Meta-heuristic methods are global optimization algorithms which are widely used in the engineering issues, nowadays. In this paper, a new stochastic search for optimization is presented using variable variance Gaussian distribution sampling. The main idea in searching for algorithm is to regenerate new samples around each solution with a Guassian distribution. Numerical simulations have revealed that the new presented algorithm outperformed some evolutionary algorithms.}, number={4}, journal={Majlesi Journal of Electrical Engineering}, publisher={OICC Press}, author={Namadchian, Ali and Ramezani, Mehdi and Razmjooy, Navid}, year={2024}, month={Feb.}, keywords={Optimization, Gaussian distribution, Covariance matrix, Stochastic search. Variance reduction, Probability Density Function (PDF} }