A new global optimization algorithm based on Latin Square theory

The paper presents a new method, DGL-Optimization, for global minimization of functions of continuous variables based on Latin Square sampling. It is also a candidate for the real function test bed of the First International Contest on Evolutionary Optimization. This innovative algorithm of DGL-Optimization has two significant features: the ability to find true global minima and its extreme ease of use.