Mainly made it obvious that Lesson4 contains "ready-to-use" EAs
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@ -24,24 +24,42 @@ documentation</a></font></font></b>
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<hr WIDTH="100%"><!-- -------------- End of header ------------------ --><!-- ----------------------------------------------- -->
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<center>
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<h1>
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<font color="#FF0000">Tutorial Lesson 4: fully operational EA</font></h1></center>
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<font color="#FF0000">Tutorial Lesson 4: ready-to-use fully operational EA</font></h1></center>
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In this lesson, you will still use the same Evolutionary Algorithm. But
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this time you will have <b><font color="#FF6600">full control of all components</font></b>
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from the <b><font color="#FF6600">command-line or a parameter file</font></b>.
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You can even use the algorithm decribed here without any other knowledge
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of EO, just by writing your fitness function as a plain C++ function. This
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is why this lesson starts with a <a href="#userguide">user's guide</a>,
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most of it being representation-independent, with some parts that are specific
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of respectively the <a href="#binary">binary</a> and the <a href="#real">real</a>
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algorithms.
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<br>However, the ultimate purpose of this tutorial is to be able to do
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from the <b><font color="#FF6600">command-line or a parameter file</font></b>.<br>
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You can even use the algorithm decribed here <b><font color="#FF6600">without any other knowledge
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of EO</font></b>, just by writing your fitness function as a plain C++ function. <br><br>
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<b><font color="#000099"><font size=+2>Contents</font></font></b><br>
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<ul>
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<li><b><font color="#FF0000">User's guide</font></b>
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<ul>
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<li> <a href="#userguide">Representation independent</a>,
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useful for <b><font color="#FF6600">all</font></b> applications</li>
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<li> <a href="#binary">BitEA, the binary version</a>, similar
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to previous lessons</li>
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<li> <a href="#real">RealEA, the basic real-valued version</a>,
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not efficient - see by yourself!</li>
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<li> <a href="#ES">RealEA, the self-adaptive Evolution Strategy</a>, best choice for continuous optimization in EO today (December 2004)</li>
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</ul>
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</li>
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<li><b><font color="#FF0000">Programmer's guide</font></b>:
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the ultimate purpose of this tutorial is to make you able to do
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your own experiments - and these these will likely fall outside the scope
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of these two programs. This is why you should also read the <a href="#programmerguide">programmer's
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guides</a>, as the structure and <a href="#memory">memory managements</a>
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are here radically different that in the 3 previous lessons - though relying
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of the two ready-to-use programs above. You wil hence need to learn more about
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<ul>
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<li> <a href="#programmerguide">Building libraries</a> (in spite of the
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<a href="eoProgramming.html#templates">template problem</a>)</li>
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<li> <a href="#memory">Memory management</a>: it is radically
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different that in the 3 previous lessons - though relying
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of course on the same objects. Note that eoPersistent objects and eoParam
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objects are handled by different mechanisms.
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<br>
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</li>
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</ul>
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</li>
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</ul>
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<p>
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<hr WIDTH="100%">
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<br><a NAME="userguide"></a><b><font color="#000099"><font size=+2>User's
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@ -462,7 +480,16 @@ operators).</font>
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<hr ALIGN=LEFT SIZE=5 WIDTH="100%">
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<p><a NAME="real"></a><b><font size=+1><font color="#000099">User's guide:</font><font color="#FF0000">Real-valued
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specific parameters</font></font></b>
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<br>The following describes the specific parameters that are available
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<br>
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To run your own real-valued application, write your fitness function
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(see <b><tt><font color="#993300" size=+1>real_value.h</font></font></tt></b>),
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recompile, and run from the command line <br>
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<center><b><tt><font color="#993300" size=+1>RealEA @RealEA.param</font></tt></b></center><br>
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in order to use sensible parameters! (see <a href="eoLesson3.html#paraminput">Lesson 3</a>
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for details on the parameter file).
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But remember that <a href="#ES">Self-adaptive ES</a> will work much better!
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<br><br>
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The following describes the specific parameters that are available
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in programs <b><tt><font color="#993300"><font size=+1>RealEA</font></font></tt></b>
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and <b><tt><font color="#993300"><font size=+1>ESEA</font></font></tt></b>
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to evolve genotypes that are <b><font color="#FF6600">vector<double></font></b>.
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@ -634,8 +661,16 @@ The value of standard deviation for Gaussian mutation - fixed along evolution
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<p>
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<hr ALIGN=LEFT SIZE=5 WIDTH="100%">
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<p><a NAME="ES"></a><b><font size=+1><font color="#000099">User's guide:</font><font color="#FF0000">ES
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with self-adative mutation specific parameters</font></font></b>
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<br>The following describes the specific parameters for program <b><tt><font color="#993300"><font size=+1>ESEA</font></font></tt></b>,
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with self-adative mutation parameters</font></font></b>
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<br>
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To run your own SA-ES application, write your fitness function
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(see <b><tt><font color="#993300" size=+1>real_value.h</font></font></tt></b>),
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recompile, and run from the command line <br>
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<center><b><tt><font color="#993300" size=+1>ESEA @ESEA.param</font></tt></b></center><br>
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in order to use sensible parameters! (see <a href="eoLesson3.html#paraminput">Lesson 3</a>
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for details on the parameter file).
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<br><br>
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The following describes the specific parameters for program <b><tt><font color="#993300"><font size=+1>ESEA</font></font></tt></b>,
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that implements the full Evolution-Strategy self-adaptive mutation mechanism
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- together with specific ES crossover operators. The initialization section
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is the same as the one for plain vector<double> above, so only the opeartor
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@ -43,9 +43,11 @@ EO<F></font></tt></b>
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<p>and then use it in your application as
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<p><b><tt><font color="#999900">eoBit<double> myeoBit;</font></tt></b>
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<p>declares an object of type eoBin which has as fitness a double.
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<p>Whereas the advantages are obvious (writing generic reusable code instead
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<p>Whereas the <b><font color="#FF6600">advantages</font></b>
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are obvious (writing generic reusable code instead
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of having to rewrite the same pieces of code for different types), there
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are some drawbacks: namely, it makes some of the compiler error messages
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are some <b><font color="#FF6600">drawbacks</font></b>:
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namely, it makes some of the compiler error messages
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hard to understand; and it forbids the compilation of most parts of EO
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into an object library file, as the actual types are not known in advance.
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<p>
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@ -28,7 +28,7 @@ if you are looking for a <font color="#FF0000"><b>ready-to-use</b></font>
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(except for the fitness) <font color="#FF0000"><b>fully tunable Evolutionary
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Algorithm</b></font> evolving real values or bitstring, you can
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<font color="#FF0000"><b>go directly to</font><font color="#000000">
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<a href="eoLesson5.html">Lesson 5</a></font></b> after
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<a href="eoLesson4.html">Lesson 4</a></font></b> after
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just reading this page, and maybe the <a href="eoProgramming.html">Programming hints</a>
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(link on top of each page too).<br>
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In fact, there is something new: thanks to Jochen Küpper, EO automatic configuration
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