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    <title>thesis on void?</title>
    <link>https://netotz.github.io/tags/thesis/</link>
    <description>Recent content in thesis on void?</description>
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      <title>The process of designing a new algorithm</title>
      <link>https://netotz.github.io/posts/a-fvs/</link>
      <pubDate>Tue, 26 Jul 2022 00:00:00 +0000</pubDate>
      
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      <description>Introduction Earlier in the year I wrote about how the objective function of an optimization problem is decomposed and partially evaluated so an algorithm that uses that function runs faster. I found this technique so interesting that I tried to explain it in that post. But the goal wasn&amp;rsquo;t to just understand the decomposing of an objective function. I needed to design a fast algorithm to solve the $\alpha$-neighbor $p$-center problem (ANPCP), as I mentioned in the other post, and while researching to do so, I came across the concept of the fast interchange or fast swap and how it was applied to other location problems (not the ANPCP).</description>
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      <title>Decomposing an objective function</title>
      <link>https://netotz.github.io/posts/decomposing-of/</link>
      <pubDate>Tue, 22 Feb 2022 00:00:00 +0000</pubDate>
      
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      <description>As the thesis for the BSc Software Engineering, I&amp;rsquo;m researching heuristic algorithms in the Operations Research field. Specifically, my mentor and I are implementing heuristics for the $\alpha$-neighbor $p$-center problem (ANPCP for short). Because the literature about it is scarce, we&amp;rsquo;ve been reading papers that use heuristic algorithms for similar problems, and trying to adapt them to the ANPCP. In this process, I found it interesting how some authors decompose the objective function of a problem and evaluate it step by step while, at the same time, applying a heuristic to the current solution.</description>
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