TY - EJOUR
AU - Namadchian, Ali
AU - Ramezani, Mehdi
AU - Razmjooy, Navid
PY - 2024
DA - February
TI - A New Meta-Heuristic Algorithm for Optimization Based on Variance Reduction of Gaussian Distribution
T2 - Majlesi Journal of Electrical Engineering
VL - 10
L1 - https://oiccpress.com/Majlesi-Journal-of-Electrical-Engineering/article/a-new-meta-heuristic-algorithm-for-optimization-based-on-variance-reduction-of-gaussian-distribution/
N2 - 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.
IS - 4
PB - OICC Press
KW - Optimization, Gaussian distribution, Covariance matrix, Stochastic search. Variance reduction, Probability Density Function (PDF 
EN -