OICC Press Majlesi Journal of Electrical Engineering 2345-3796 10 4 2024 02 20 A New Meta-Heuristic Algorithm for Optimization Based on Variance Reduction of Gaussian Distribution EN Ali Namadchian University of Tafresh, Tafresh, Iran Mehdi Ramezani Department of Mathematics, University of Tafresh, Tafresh, Iran. Navid Razmjooy Department of Electrical Engineering, University of Tafresh, Tafresh, Iran. Journal Article 2024 02 20 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.