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Joao Paulo Papa edited Introduction.tex
over 8 years ago
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The Firefly Algorithm (FFA)~\cite{Yang_2010} is a meta-heuristic optimization technique inspired by the flashing behavior of fireflies, which attempt at flashing in order to attract possible mates. Let $\textbf{x}_i^t$ be the position of firefly (agent) $i$ at iteration $t$. Roughly speaking, the idea of FFA is to move agents towards brighter ones, i.e., agents with lower fitness functions, as follows:
%\textbf{x}^t_i+\psi e^{-\tau d_{i,j}^2}(\textbf{x}^t_j-\textbf{x}^t_i)+\eta^t\bm{\lambda}^t_i
%$f(\textbf{x}_i^}) %
\begin{eqnarray}
\label{e.position_ffa}
\textbf{x}^{t+1}_i & = & \left\{ \begin{array}{ll} & \mbox{{ if
}} $f(\textbf{x}_i^t) \\
\textbf{x}^t_i & \mbox{{ otherwise,}}
\end{array}\right.
\end{eqnarray}