Several constrained and unconstrained optimization problems have been adequately solved over the years thanks to advances in the metaheuristics area. In the last decades, different metaheuristics have been proposed employing new ideas, and hybrid algorithms that improve the original metaheuristics have been developed. One of the most successfully employed metaheuristics is the Differential Evolution. In
We propose a multi-view DE in which several mutation strategies are applied to the same current population to generate different views for the current iteration. The views are then merged using tournament-selection to generate the next single population. This Multi-View DE is benchmarked on the BBOB-2012 noiseless function testbed. Keywords: procés de test.