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<!DOCTYPE html>
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<p>A Framework for Multi-Objective Optimization</p>
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<li><a href="index.html">Home</a></li>
<li><a href="algorithms.html">Algorithms</a>
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<article class="columms_container">
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<h1><strong>MOCHC</strong> MultiObjective CHC</h1>
</header>
<!--<hr>-->
<aside>
<header>
</header>
<section>
<h2 class=invert>CHC Pseudo-code</h2>
<br />
<img src="resources/CHCCode.png" alt="CHC pseudocode" class="asideImage expand">
</section>
</aside>
<section class="col2_3">
<header><h1>Description</h1></header>
<p>
<strong>MOCHC</strong> is a multi-objective version of <strong>CHC</strong>, an evolutionary algorithm proposed by Eshelman in 1991. It is intended to
solve binary-coded problems and its main feature is the use of a crossover mechanism called HUX.
</p>
<header>
<h1>Main features</h1>
</header>
<ul>
<li>
Ordering criterion: randking and crowding distance
</li>
<li>
Parent selection: random with incest threshold
</li>
<li>
Crossover: HUX
</li>
<li>
Cataclismic mutation: bit flip (pm = 35%)
</li>
</ul>
<header>
<h1>Application</h1>
</header>
<p>MOCHC was designed to solve the antennae placement, a problem from the telecommunications domain</p>
<header>
<h1>References</h1>
</header>
<ul>
<li>
A.J. Nebro, E. Alba, G. Molina, F. Chicano, F. Luna, J.J. Durillo Optimal antenna placement using a new multi-objective chc algorithm.
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation. London, England. July 2007 .
<a href="resources/NAM07.bib">BIBTEX</a>
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