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Adding the Lesson5 - how to create your own genotype

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evomarc 2002-05-08 06:50:58 +00:00
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eo/tutorial/html/eoTopDown.html
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@ -2,7 +2,7 @@
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<meta name="GENERATOR" content="Mozilla/4.75 [en] (X11; U; Linux 2.2.17-21mdk i686) [Netscape]">
<meta name="GENERATOR" content="Mozilla/4.78 [en] (X11; U; Linux 2.4.7-10 i686) [Netscape]">
<title>EO - The Algorithm-Based approach</title>
</head>
<body text="#000000" link="#0000EE" vlink="#551A8B" alink="#FF0000" background="beige009.jpg">
@ -26,9 +26,9 @@ of "lessons" for you.
<li>
<a href="eoLesson1.html">Lesson 1 </a>- a gentle introduction to the <font color="#FF6600">EO
way</font>: your first steps into <b><font color="#999900">EO representations</font></b>
using a simple generational GA. Please, <b><blink><font color="#FF0000">spend
the necessary time</font></blink></b> on that one, since all basic constructs
presented there are used throughout EO.</li>
using a simple generational GA. Please, <b><font color="#FF0000">spend
the necessary time</font></b> on that one, since all basic constructs presented
there are used throughout EO.</li>
<li>
<a href="eoLesson2.html">Lesson 2</a> - <font color="#FF6600">encapsulate</font>,
@ -48,48 +48,51 @@ populations,
...).</li>
<li>
<a href="eoLesson3.html">Lesson 4 </a>- The same algorithms - again! - but now fully operational:
<font color="#FF6600">every component</font> of the algorithm can be defined
<font color="#FF6600">on the command-line</font>, except the type of genotype;
moreover, you now have a full library, i.e. everything except your fitness function is
<font color="#FF6600">already compiled.</font>
</li>
<a href="eoLesson3.html">Lesson 4 </a>- The same algorithms - again! -
but now fully operational: <font color="#FF6600">every component</font>
of the algorithm can be defined <font color="#FF6600">on the command-line</font>,
except the type of genotype; moreover, you now have a full library, i.e.
everything except your fitness function is <font color="#FF6600">already
compiled.</font></li>
<p><br>Current version (May. 5, 2001) stops here, but ...
<li>
<a href="eoLesson5.html">Lesson 5</a> <b><blink><font color="#FF6600">(new)</font></blink></b>
- Use your own <b><font color="#999900">representation</font></b>. Thanks
to <font color="#FF6600">template files and a little script</font> in Unix,
or the <font color="#FF6600">Application template</font> in MSVC++, you
can easily define a new genotype and run an Evolutionary Algorithm that
will intantly benefit from the power of <b><font color="#009900">all EO
Evolution Engines</font></b> (including <b><font color="#3366FF">easy user-parameter
input </font></b>presented in Lesson 4). You simply need to gradually fill
in the shell-files that the script will generate for you.</li>
</ul>
<br>Current version (May. 5, 2002) stops here, but ...
<p>From there on, you don't need to follow the lesson order any more: you
can go directly to any lesson and experiment. Of course, you will need
to bring together the different pieces to write exactly what you want -
but only because we had no idea of what you exactly want :-)
<br>&nbsp;
<ul>
<li>
Lesson 4 - More <b><font color="#CC33CC">general operators</font></b>:
e.g. binary, n-ary, or even specific mate selection (your brain and my
beauty)! Add your own to the basic algorithm using the template files.</li>
<li>
Lesson 5 - More about <b><font color="#3366FF">checkpointing</font></b>:
Lesson 6 (forthcoming) - More about <b><font color="#3366FF">checkpointing</font></b>:
write your first <b><font color="#FF6600">adaptive mechanism</font></b>,
and find out how easy it is to <b><font color="#3366FF">update</font></b>
and <b><font color="#3366FF">monitor </font><font color="#FF6600">dynamic
parameters</font></b></li>
<li>
Lesson 6 - Why not go <b><font color="#993300">parallel</font></b>? From
the simple asynchronous SSGA to the more sophisticated island model (no
totally distributed population yet).</li>
Lesson 7 - More <b><font color="#CC33CC">general operators</font></b>:
e.g. binary, n-ary, or even specific mate selection (your brain and my
beauty)! Add your own to the basic algorithm using the template files.</li>
<li>
Lesson 7 - Use your own <b><font color="#999900">representation</font></b>.
You need only to write the base individual class, the initilization class
and the variation operators. EO provides many helps: The <b><font color="#999900">eoExternal</font></b>
paradigm let you encapsulate into EO classes existing code. And the <b><font color="#999900">eoFixedLength</font></b>
and <b><font color="#999900">eoVariableLength</font></b> super classes
allow quick definition of new genotypes that handle identical Atoms.</li>
Lesson 7 - Use predefined generic <b><font color="#999900">representations</font></b>.
The <b><font color="#999900">eoFixedLength</font></b> and <b><font color="#999900">eoVariableLength</font></b>
super classes allow quick definition of new genotypes that handle identical
Atoms, together with generic variation operators.</li>
</ul>
Of course, in each lesson, you have links to the corresponding Component-Based
page. ( ... Well, to tell you the truth, as of today, Jan. 5, 2001, this
is not exactly true :-)
page. ( ... Well, to tell you the truth, as of today, this is not exactly
true :-)
<br>
<hr WIDTH="100%">
<br><a href="eoTutorial.html">Tutorial main page </a>- <a href="eoTopDown.html">Algorithm-Based</a>