https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Caceres-Cruz_et_al_2014aCaceres-Cruz et al 2014a - Revision history2026-05-07T09:44:30ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Caceres-Cruz_et_al_2014a&diff=200665&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 533368315 to Caceres-Cruz et al 2014a2021-02-02T02:01:30Z<p>Scipediacontent moved page <a href="/public/Draft_Content_533368315" class="mw-redirect" title="Draft Content 533368315">Draft Content 533368315</a> to <a href="/public/Caceres-Cruz_et_al_2014a" title="Caceres-Cruz et al 2014a">Caceres-Cruz et al 2014a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Caceres-Cruz_et_al_2014a&diff=200664&oldid=prevScipediacontent: Created page with " == Abstract == In most medium and large sized cities around the world, freight transportation operations might have a noticeable impact on urban traffic mobility as well as..."2021-02-02T02:01:23Z<p>Created page with " == Abstract == In most medium and large sized cities around the world, freight transportation operations might have a noticeable impact on urban traffic mobility as well as..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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In most medium and large sized cities around the world, freight transportation operations might have a noticeable impact on urban traffic mobility as well as on city commercial activities. In order to reduce both traffic congestion and pollution levels, several initiatives have been traditionally implemented. One of the most common strategies concerns the allocation of urban distribution warehouses near the city center in order to consolidate freight delivery services. This paper considers the integrated problem of locating distribution centers in urban areas and the corresponding freight distribution (vehicle routing). The combined problem is solved by using a hybrid algorithm which employs Monte Carlo simulation to induce biased randomness into several stages of the optimization procedure. The approach is then validated using real-life data and comparing our results with results from other works already available in the existing literature.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://informs-sim.org/wsc13papers/includes/files/178.pdf http://informs-sim.org/wsc13papers/includes/files/178.pdf]<br />
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* [http://informs-sim.org/wsc13papers/includes/files/178.pdf http://informs-sim.org/wsc13papers/includes/files/178.pdf],<br />
: [https://dblp.uni-trier.de/db/conf/wsc/wsc2013.html#Munoz-VillamizarMJC13 https://dblp.uni-trier.de/db/conf/wsc/wsc2013.html#Munoz-VillamizarMJC13],<br />
: [https://dl.acm.org/citation.cfm?id=2676236 https://dl.acm.org/citation.cfm?id=2676236],<br />
: [https://academic.microsoft.com/#/detail/2108292337 https://academic.microsoft.com/#/detail/2108292337]<br />
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* [http://xplorestaging.ieee.org/ielx7/6709837/6721384/06721581.pdf?arnumber=6721581 http://xplorestaging.ieee.org/ielx7/6709837/6721384/06721581.pdf?arnumber=6721581],<br />
: [http://dx.doi.org/10.1109/wsc.2013.6721581 http://dx.doi.org/10.1109/wsc.2013.6721581]</div>Scipediacontent