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Alinson S. Xavier
2020-12-03 12:22:10 -06:00
parent 070c4adc73
commit ed15ffe119
12 changed files with 179 additions and 142 deletions
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0.2/problems/index.html
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@@ -59,7 +59,9 @@
<!-- Main title -->
<a class="navbar-brand" href="..">MIPLearn</a>
<a class="navbar-brand" href="..">MIPLearn</a>
</div>
<!-- Expanded navigation -->
@@ -183,12 +185,11 @@
<li>Random vertex weights $w_v \sim U(100, 150)$</li>
<li>500 training instances, 50 test instances</li>
</ul>
<pre><code class="python">MaxWeightStableSetGenerator(w=uniform(loc=100., scale=50.),
<pre><code class="language-python">MaxWeightStableSetGenerator(w=uniform(loc=100., scale=50.),
n=randint(low=200, high=201),
p=uniform(loc=0.05, scale=0.0),
fix_graph=True)
</code></pre>
<p><img alt="alt" src="../figures/benchmark_stab_a.png" /></p>
<h2 id="traveling-salesman-problem">Traveling Salesman Problem</h2>
<h3 id="problem-definition_1">Problem definition</h3>
@@ -215,7 +216,7 @@ is provided, this rounding will be disabled.</p>
<li>$\gamma_{i,j} \sim U(0.95, 1.05)$</li>
<li>500 training instances, 50 test instances</li>
</ul>
<pre><code class="python">TravelingSalesmanGenerator(x=uniform(loc=0.0, scale=1000.0),
<pre><code class="language-python">TravelingSalesmanGenerator(x=uniform(loc=0.0, scale=1000.0),
y=uniform(loc=0.0, scale=1000.0),
n=randint(low=350, high=351),
gamma=uniform(loc=0.95, scale=0.1),
@@ -223,7 +224,6 @@ is provided, this rounding will be disabled.</p>
round=True,
)
</code></pre>
<p><img alt="alt" src="../figures/benchmark_tsp_a.png" /></p>
<h2 id="multidimensional-0-1-knapsack-problem">Multidimensional 0-1 Knapsack Problem</h2>
<h3 id="problem-definition_2">Problem definition</h3>
@@ -275,7 +275,7 @@ from the provided probability distributions <code>K</code> and <code>u</code>.</
<li>$K = 500, u \sim U(0, 1), \alpha = 0.25$</li>
<li>500 training instances, 50 test instances</li>
</ul>
<pre><code class="python">MultiKnapsackGenerator(n=randint(low=250, high=251),
<pre><code class="language-python">MultiKnapsackGenerator(n=randint(low=250, high=251),
m=randint(low=10, high=11),
w=uniform(loc=0.0, scale=1000.0),
K=uniform(loc=500.0, scale=0.0),
@@ -285,24 +285,27 @@ from the provided probability distributions <code>K</code> and <code>u</code>.</
w_jitter=uniform(loc=0.95, scale=0.1),
)
</code></pre>
<p><img alt="alt" src="../figures/benchmark_knapsack_a.png" /></p></div>
</div>
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