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Used spell-checker!!!

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evomarc 2000-12-01 17:56:52 +00:00
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eo/tutorial/html/eoLesson2.html
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@ -70,7 +70,7 @@ object that is a sub-class of the corresponding STL vector class.</font></li>
<p><b><font color="#FF0000">Note:</font></b> <font color="#000000">Also,
a non-templatized fitness can be </font><b><font color="#FF6600">compiled
separately</font></b><font color="#000000"> (not done here) into an object
file once and forall (<a href="eoProgramming.html#templates">remember</a>
file once and for all (<a href="eoProgramming.html#templates">remember</a>
that templates forbid that).</font>
<br>&nbsp;
<li>
@ -134,12 +134,12 @@ sum up to 1, all rates are scaled anyway.
<p><b><font color="#FF0000">Note:</font></b> The operators have to be encapsulated
into an <b><tt><font color="#CC33CC">eoTransform</font></tt></b> object
(<a href="FirstBitEA.html#transform">Bit</a> - <a href="FirstRealEA.html#transform">Real</a>)
to be passed to the <b><tt><font color="#FF6666">eoEasyEA </font></tt></b>algorihtm.
to be passed to the <b><tt><font color="#FF6666">eoEasyEA </font></tt></b>algorithm.
The <b><tt><font color="#CC33CC">eoSGATransform</font></tt></b> is a simple
<b><tt><font color="#CC33CC">eoTransform</font></tt></b>
that does exactly the same thing than <b><tt><font color="#FF6666">eoSGA</font></tt></b>:
each pair from the selected parents undergoes the <font color="#CC33CC">crossover
operator with given probablity</font>, and all individuals (after crossover
operator with given probability</font>, and all individuals (after crossover
eventually) undergo <font color="#CC33CC">mutation with given probability</font>.
The arguments to the <b><tt><font color="#CC33CC">eoSGATransform</font></tt></b>
are an <b><tt><font color="#CC33CC">eoQuadOp</font></tt></b> with its probability
@ -182,7 +182,7 @@ a population (his <b><tt><font color="#660000">operator()</font></tt></b>&nbsp;
returns a population). This was done internally in the&nbsp; <a href="doc/html/class_eosga.html#a0">constructor
of eoSGA</a>&nbsp; - see lesson1.</ul>
<hr WIDTH="100%"><a NAME="Exercise1"></a><b><font size=+2><font color="#000099">Exercice
<hr WIDTH="100%"><a NAME="Exercise1"></a><b><font size=+2><font color="#000099">Exercise
1: </font><font color="#FF0000">minimizing</font></font></b>
<br><font color="#000000">Modify the algorithm so that it minimizes the
fitness.</font>
@ -201,16 +201,16 @@ the file <b><tt><a href="real_value.html">real_value.h</a></tt></b> so
that it returns the sum of squares instead of its inverse. And again there
is something else to modify...</font></li>
</ul>
<a NAME="exercise2"></a><b><font size=+2><font color="#000099">Exercice
<a NAME="exercise2"></a><b><font size=+2><font color="#000099">Exercise
2: </font><font color="#FF0000">initialization</font></font></b>
<br><font color="#000000">Use different initializers: for instance, on
the real-valued sphere function minimization, try to initialize half of
the population in [-2,-1] and the other half in [1,2], with and without
the segment and arithmetic crossovers (and for large values of VEC_SIZE,
the size of the vectors). Amazing, isn't it! Explain that result.</font>
<p><a NAME="Exercise3"></a><b><font size=+2><font color="#000099">Exercice
<p><a NAME="Exercise3"></a><b><font size=+2><font color="#000099">Exercise
3:&nbsp; </font><font color="#FF0000">replacement</font></font></b>
<br><font color="#000000">You can now twidle the number of offspring that
<br><font color="#000000">You can now twiddle the number of offspring that
will be generated from the parents. But of course you need to adjust the
replacement to keep a constant population size.</font>
<ul>