Buradasınız : Research Topics / Stochastic Optimization Techniques in Statistics
Salı, 26.01.2021

Stochastic optimization techniques use random numbers to move in the search space. The techniques are inspired form intelligent behaves in the nature. Artificial bee colony, particle swarm optimization, differantial evalution algoritihm and many of others were proposed in the literature. FORELAB focuses on using this methods in statistical models.