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  <div class="section" id="module-macop.evaluators.discrete.multi">
<span id="macop-evaluators-discrete-multi"></span><h1>macop.evaluators.discrete.multi<a class="headerlink" href="#module-macop.evaluators.discrete.multi" title="Permalink to this headline">¶</a></h1>
<p>Multi-objective evaluators classes</p>
<p class="rubric">Classes</p>
<table class="longtable docutils align-default">
<colgroup>
<col style="width: 10%" />
<col style="width: 90%" />
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="#macop.evaluators.discrete.multi.WeightedSum" title="macop.evaluators.discrete.multi.WeightedSum"><code class="xref py py-obj docutils literal notranslate"><span class="pre">WeightedSum</span></code></a>(data)</p></td>
<td><p>Weighted-sum sub-evaluator class which enables to compute solution using specific <cite>_data</cite></p></td>
</tr>
</tbody>
</table>
<dl class="class">
<dt id="macop.evaluators.discrete.multi.WeightedSum">
<em class="property">class </em><code class="sig-prename descclassname">macop.evaluators.discrete.multi.</code><code class="sig-name descname">WeightedSum</code><span class="sig-paren">(</span><em class="sig-param">data</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/macop/evaluators/discrete/multi.html#WeightedSum"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#macop.evaluators.discrete.multi.WeightedSum" title="Permalink to this definition">¶</a></dt>
<dd><p>Weighted-sum sub-evaluator class which enables to compute solution using specific <cite>_data</cite></p>
<ul class="simple">
<li><p>stores into its <cite>_data</cite> dictionary attritute required measures when computing a solution</p></li>
<li><p><cite>_data[‘evaluators’]</cite> current evaluator to use</p></li>
<li><p><cite>_data[‘weights’]</cite> Associated weight to use</p></li>
<li><p><cite>compute</cite> method enables to compute and associate a tuples of scores to a given solution</p></li>
</ul>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">random</span>
<span class="gp">&gt;&gt;&gt; </span><span class="c1"># binary solution import</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">macop.solutions.discrete</span> <span class="kn">import</span> <span class="n">BinarySolution</span>
<span class="gp">&gt;&gt;&gt; </span><span class="c1"># evaluators imports</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">macop.evaluators.discrete.mono</span> <span class="kn">import</span> <span class="n">KnapsackEvaluator</span>
<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">macop.evaluators.discrete.multi</span> <span class="kn">import</span> <span class="n">WeightedSum</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">solution_data</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">size</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">solution_data</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">solution</span> <span class="o">=</span> <span class="n">BinarySolution</span><span class="p">(</span><span class="n">solution_data</span><span class="p">,</span> <span class="n">size</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="c1"># evaluator 1 initialization (worths objects passed into data)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">worths1</span> <span class="o">=</span> <span class="p">[</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">size</span><span class="p">)</span> <span class="p">]</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">evaluator1</span> <span class="o">=</span> <span class="n">KnapsackEvaluator</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;worths&#39;</span><span class="p">:</span> <span class="n">worths1</span><span class="p">})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="c1"># evaluator 2 initialization (worths objects passed into data)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">worths2</span> <span class="o">=</span> <span class="p">[</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">15</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">size</span><span class="p">)</span> <span class="p">]</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">evaluator2</span> <span class="o">=</span> <span class="n">KnapsackEvaluator</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;worths&#39;</span><span class="p">:</span> <span class="n">worths2</span><span class="p">})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">weighted_evaluator</span> <span class="o">=</span> <span class="n">WeightedSum</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;evaluators&#39;</span><span class="p">:</span> <span class="p">[</span><span class="n">evaluator1</span><span class="p">,</span> <span class="n">evaluator2</span><span class="p">],</span> <span class="s1">&#39;weights&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mf">0.3</span><span class="p">,</span> <span class="mf">0.7</span><span class="p">]})</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">weighted_score</span> <span class="o">=</span> <span class="n">weighted_evaluator</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="n">solution</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">expected_score</span> <span class="o">=</span> <span class="n">evaluator1</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="n">solution</span><span class="p">)</span> <span class="o">*</span> <span class="mf">0.3</span> <span class="o">+</span> <span class="n">evaluator2</span><span class="o">.</span><span class="n">compute</span><span class="p">(</span><span class="n">solution</span><span class="p">)</span> <span class="o">*</span> <span class="mf">0.7</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">weighted_score</span> <span class="o">==</span> <span class="n">expected_score</span>
<span class="go">True</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">weighted_score</span>
<span class="go">50.8</span>
</pre></div>
</div>
<dl class="method">
<dt id="macop.evaluators.discrete.multi.WeightedSum.compute">
<code class="sig-name descname">compute</code><span class="sig-paren">(</span><em class="sig-param">solution</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/macop/evaluators/discrete/multi.html#WeightedSum.compute"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#macop.evaluators.discrete.multi.WeightedSum.compute" title="Permalink to this definition">¶</a></dt>
<dd><p>Apply the computation of fitness from solution</p>
<ul class="simple">
<li><p>Associate tuple of fitness scores for each objective to the current solution</p></li>
<li><p>Compute weighted-sum for these objectives</p></li>
</ul>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>solution</strong> – {Solution} – Solution instance</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>{float} – weighted-sum of the fitness scores</p>
</dd>
</dl>
</dd></dl>

</dd></dl>

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