<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Metaheuristics | Hugo Academic CV Theme</title><link>https://example.com/tags/metaheuristics/</link><atom:link href="https://example.com/tags/metaheuristics/index.xml" rel="self" type="application/rss+xml"/><description>Metaheuristics</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jun 2024 00:00:00 +0000</lastBuildDate><image><url>https://example.com/media/icon_hu7729264130191091259.png</url><title>Metaheuristics</title><link>https://example.com/tags/metaheuristics/</link></image><item><title>A Hybrid Model of Artificial Intelligence Integrated into GIS for Predicting Accidents in Water Supply Networks</title><link>https://example.com/publication/journal-article/</link><pubDate>Sat, 01 Jun 2024 00:00:00 +0000</pubDate><guid>https://example.com/publication/journal-article/</guid><description>&lt;div class="flex px-4 py-3 mb-6 rounded-md bg-primary-100 dark:bg-primary-900">
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&lt;span class="dark:text-neutral-300">Due to the sensitive nature of the infrastructure involved, &lt;strong>part of the source code and the dataset used in this study are not publicly available&lt;/strong>. These materials are classified under wartime restrictions and relate to critical infrastructure, thus cannot be shared or distributed.&lt;/span>
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&lt;span class="dark:text-neutral-300">This publication is based on research conducted at the Educational and Research Institute for Applied System Analysis (ERIAS) of Igor Sikorsky Kyiv Polytechnic Institute.&lt;/span>
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&lt;p>The proposed hybrid system combines:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>ANFIS&lt;/strong>: for fuzzy logic and learning from data;&lt;/li>
&lt;li>&lt;strong>GA + ACO&lt;/strong>: to optimize fuzzy rule sets and clustering;&lt;/li>
&lt;li>&lt;strong>GIS&lt;/strong>: for spatial context, visualization, and decision support.&lt;/li>
&lt;/ul>
&lt;p>The integration supports water utilities in making informed, predictive decisions regarding accident response and preventive maintenance. Use of metaheuristics improved predictive power while retaining interpretability.&lt;/p></description></item></channel></rss>