<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Optimization on DyCoAI | AI and Me</title><link>https://www.dycoai.com/tags/optimization/</link><description>Recent content in Optimization on DyCoAI | AI and Me</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 17 Sep 2026 12:44:00 +0800</lastBuildDate><atom:link href="https://www.dycoai.com/tags/optimization/index.xml" rel="self" type="application/rss+xml"/><item><title>Optimization as an Agentic Skill</title><link>https://www.dycoai.com/notes/agentic-skill-optimization/</link><pubDate>Thu, 17 Sep 2026 12:44:00 +0800</pubDate><guid>https://www.dycoai.com/notes/agentic-skill-optimization/</guid><description>&lt;p&gt;When deployed by &lt;strong&gt;AI agents&lt;/strong&gt; to improve decisions under constraints, &lt;strong&gt;Optimization&lt;/strong&gt; is the agentic skill of searching for best or near-best solutions among feasible alternatives according to defined objectives.&lt;/p&gt;
&lt;p&gt;It takes inputs such as goals, limits, costs, resources, and candidate options, then applies mathematical, heuristic, or search-based methods to compare configurations and identify solutions that maximize or minimize desired outcomes.&lt;/p&gt;
&lt;p&gt;The skill is useful when a task requires efficient allocation, scheduling, routing, parameter tuning, or trade-off analysis at a scale or speed beyond manual exploration.&lt;/p&gt;</description></item></channel></rss>