<p>In <a href="https://github.com/mlpack/mlpack/pull/753#discussion_r73802796">src/mlpack/methods/ne/cne.hpp</a>:</p>
<pre style='color:#555'>&gt; +  CNE(TaskType task, Genome&amp; seedGenome, Parameters&amp; params) {
&gt; +    aTask = task;
&gt; +    aSeedGenome = seedGenome;
&gt; +    aSpeciesSize = params.aSpeciesSize;
&gt; +    aMaxGeneration = params.aMaxGeneration;
&gt; +    aMutateRate = params.aMutateRate;
&gt; +    aMutateSize = params.aMutateSize;
&gt; +    aElitePercentage = params.aElitePercentage;
&gt; +  }
&gt; +
&gt; +  // Destructor.
&gt; +  ~CNE() {}
&gt; +
&gt; +  // Soft mutation: add a random value chosen from
&gt; +  // initialization prob distribution with probability p.
&gt; +  // TODO: here we use uniform distribution. Can we use exponential distribution?
</pre>
<p>I guess for now it's reasonable to use a uniform distribution only.</p>

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