Global optimization is important in solving complex problems in engineering and science. Recent research has focused on finding the best solutions for problems with nonconvex domains or functions, involving both continuous and discrete variables. The study discusses new approaches for deterministic and stochastic global optimization, as well as continuous methods for discrete optimization.