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<a href="Bio-module.html">Package Bio</a> ::
<a href="Bio.GA-module.html">Package GA</a> ::
<a href="Bio.GA.Crossover-module.html">Package Crossover</a> ::
<a href="Bio.GA.Crossover.GeneralPoint-module.html">Module GeneralPoint</a> ::
Class GeneralPointCrossover
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<!-- ==================== CLASS DESCRIPTION ==================== -->
<h1 class="epydoc">Class GeneralPointCrossover</h1><p class="nomargin-top"><span class="codelink"><a href="Bio.GA.Crossover.GeneralPoint-pysrc.html#GeneralPointCrossover">source code</a></span></p>
<dl><dt>Known Subclasses:</dt>
<dd>
<ul class="subclass-list">
<li><a href="Bio.GA.Crossover.GeneralPoint.InterleaveCrossover-class.html">InterleaveCrossover</a></li><li>, <a href="Bio.GA.Crossover.GeneralPoint.TwoCrossover-class.html">TwoCrossover</a></li> </ul>
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<pre class="literalblock">
Perform n-point crossover between genomes at some defined rates.
Ideas on how to use this class:
- Call it directly ( construct, do_crossover )
- Use one of the provided subclasses
- Inherit from it:
* replace _generate_locs with a more domain
specific technique
* replace _crossover with a more efficient
technique for your point-count
</pre>
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<td><span class="summary-sig"><a name="__init__"></a><span class="summary-sig-name">__init__</span>(<span class="summary-sig-arg">self</span>,
<span class="summary-sig-arg">points</span>,
<span class="summary-sig-arg">crossover_prob</span>=<span class="summary-sig-default">0.1</span>)</span><br />
Initialize to do crossovers at the specified probability.</td>
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<td><span class="summary-sig"><a name="do_crossover"></a><span class="summary-sig-name">do_crossover</span>(<span class="summary-sig-arg">self</span>,
<span class="summary-sig-arg">org_1</span>,
<span class="summary-sig-arg">org_2</span>)</span><br />
Potentially do a crossover between the two organisms.</td>
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<span class="codelink"><a href="Bio.GA.Crossover.GeneralPoint-pysrc.html#GeneralPointCrossover.do_crossover">source code</a></span>
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<td><span class="summary-sig"><a href="Bio.GA.Crossover.GeneralPoint.GeneralPointCrossover-class.html#_generate_locs" class="summary-sig-name" onclick="show_private();">_generate_locs</a>(<span class="summary-sig-arg">self</span>,
<span class="summary-sig-arg">bound</span>)</span><br />
Generalized Location Generator:</td>
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<td><span class="summary-sig"><a href="Bio.GA.Crossover.GeneralPoint.GeneralPointCrossover-class.html#_crossover" class="summary-sig-name" onclick="show_private();">_crossover</a>(<span class="summary-sig-arg">self</span>,
<span class="summary-sig-arg">x</span>,
<span class="summary-sig-arg">no</span>,
<span class="summary-sig-arg">locs</span>)</span><br />
Generalized Crossover Function:</td>
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<span class="codelink"><a href="Bio.GA.Crossover.GeneralPoint-pysrc.html#GeneralPointCrossover._crossover">source code</a></span>
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<a name="_generate_locs"></a>
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<h3 class="epydoc"><span class="sig"><span class="sig-name">_generate_locs</span>(<span class="sig-arg">self</span>,
<span class="sig-arg">bound</span>)</span>
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<pre class="literalblock">
Generalized Location Generator:
arguments:
bound (int) - upper bound
returns: [0]+x_0...x_n+[bound]
where n=self._npoints-1
and 0 < x_0 < x_1 ... < bound
</pre>
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<h3 class="epydoc"><span class="sig"><span class="sig-name">_crossover</span>(<span class="sig-arg">self</span>,
<span class="sig-arg">x</span>,
<span class="sig-arg">no</span>,
<span class="sig-arg">locs</span>)</span>
</h3>
</td><td align="right" valign="top"
><span class="codelink"><a href="Bio.GA.Crossover.GeneralPoint-pysrc.html#GeneralPointCrossover._crossover">source code</a></span>
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<pre class="literalblock">
Generalized Crossover Function:
arguments:
x (int) - genome number [0|1]
no (organism,organism)
- new organisms
locs (int list, int list)
- lists of locations,
[0, +n points+, bound]
for each genome (sync'd with x)
return type: sequence (to replace no[x])
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