In the last decades, a number of novel meta-heuristics and hybrid algorithms have been proposed to solve a great variety of optimization problems. Among these, constrained optimization problems are considered of particular interest in applications from many different domains. The presence of multiple constraints can make optimization problems particularly hard to solve, thus imposing the
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.