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======================================================================== DYNAMIC LINK LIBRARY : Spelunkbots Project Overview

AppWizard has created this Spelunkbots DLL for you.

This file contains a summary of what you will find in each of the files that make up your Spelunkbots application.

Spelunkbots.vcxproj This is the main project file for VC++ projects generated using an Application Wizard. It contains information about the version of Visual C++ that generated the file, and information about the platforms, configurations, and project features selected with the Application Wizard.

Spelunkbots.vcxproj.filters This is the filters file for VC++ projects generated using an Application Wizard. It contains information about the association between the files in your project and the filters. This association is used in the IDE to show grouping of files with similar extensions under a specific node (for e.g. ".cpp" files are associated with the "Source Files" filter).

Spelunkbots.cpp This is the main DLL source file.

When created, this DLL does not export any symbols. As a result, it
will not produce a .lib file when it is built. If you wish this project
to be a project dependency of some other project, you will either need to
add code to export some symbols from the DLL so that an export library
will be produced, or you can set the Ignore Input Library property to Yes
on the General propert page of the Linker folder in the project's Property
Pages dialog box.

///////////////////////////////////////////////////////////////////////////// Other standard files:

StdAfx.h, StdAfx.cpp These files are used to build a precompiled header (PCH) file named Spelunkbots.pch and a precompiled types file named StdAfx.obj.

///////////////////////////////////////////////////////////////////////////// Other notes:

AppWizard uses "TODO:" comments to indicate parts of the source code you should add to or customize.

/////////////////////////////////////////////////////////////////////////////

About

Create a bot to play spelunk using an artificial neural network and a genetic algorithm. Done as the dissertation for my degree

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