\chapter{Literature Review}\label{chap:litreview}
This chapter describes past and related
work that has been done to date on topics discussed
later in the thesis.  The review will focus on three related topics
\begin{itemize} \itemsep -14pt
\item General Machine Learning Techniques (\tion{ml})
\item General Metaheuristic Search (\tion{metaheur})
\item Search Based Software Engineering (\tion{sbse})
\end{itemize}
%Each section will discuss specific examples and
%recent research into each area.
The first 2 sections of this review are meant
to give the reader an introduction to
common techniques in machine learning
and metaheuristic search.
This introduction will allow the reader to
appreciate how treatment learning
differs from other machine learning techniques
and how ITL differs from other 
metaheuristic techniques.
These sections also serve to demonstrate some of
the differences and similarities between
machine learning and metaheuristic search.
The last section is a more in-depth look
at how metaheuristic search is used 
in software engineering.

%{\it
%It is a philosphical tenet of this thesis
%that the three areas mentioned, are in fact
%the same problem.  Each might have its
%own terminology, viewpoint, and accepted
%methodologies, but there exists
%no fundemental difference between the fields.
%Only a difference in the out-look of practitioners.
%}

\section{Machine Learning Techniques}\label{sect:ml}
\input{LitReview/ML}

\section{Metaheuristic Search}\label{sect:metaheur}
\input{LitReview/metaheuristics}

\section{Search Based Software Engineering}\label{sect:sbse}
\input{LitReview/searchBasedSE}



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