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\label{e.minimization}  \textbf{x}^\ast = \displaystyle \min_{\textbf{x}\in{\cal S}}f(\textbf{x}),  \end{equation}  where $\textbf{x}^\ast$ stands for the best solution so far. Without loss of generality, the optimization techniques differ on the way they attempt at solving the above equation. The same occurs when working with meta-heuristics, since each one is based on a different social mechanism or living being. Since the terminology among techniques might be quite different but with similar purposes, we generalize each possible solution to the name "agent" (e.g., harmonies considering Harmony Search, particles for Particle Swarm Optimization, bats with respect to Bat Algorithm and fireflies regarding Firefly Algorithm).  \section*{Acknowledgments}  The authors are grateful to FAPESP grants \#2013/20387-7 and \#2014/16250-9, as well as CNPq grants \#470571/2013-6 and \#306166/2014-3.