<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evolutionary Computation on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/evolutionary-computation/</link><description>Recent content in Evolutionary Computation on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/evolutionary-computation/index.xml" rel="self" type="application/rss+xml"/><item><title>Evolvability</title><link>https://terms-en.ai-term-hub.com/en/terms/evolvability/</link><pubDate>Sat, 18 Jul 2026 09:57:25 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/evolvability/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>In computational contexts, evolvability refers to how easily an algorithm or neural network architecture can improve its fitness over generations or training steps. High evolvability implies that small changes in parameters or structure lead to significant, beneficial functional improvements. This concept is crucial in genetic algorithms and neuroevolution, where the search space must allow for progressive refinement of solutions without getting stuck in local optima.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>The capacity of a genotype or system to generate heritable phenotypic variation that can be selected for adaptation.&lt;/p></description></item></channel></rss>