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    <title>Optimisation | Dr. Mauricio Zambrano-Bigiarini</title>
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    <description>Optimisation</description>
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      <title>hydroPSO</title>
      <link>https://hzambran.github.io/rpackages/hydropso/</link>
      <pubDate>Fri, 13 Apr 2012 00:00:00 +0000</pubDate>
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&lt;h2 id=&#34;description&#34;&gt;Description&lt;/h2&gt;
&lt;p&gt;
 is an R package developed to provide a robust and flexible framework for the global optimisation and calibration of environmental and engineering models. It implements state-of-the-art variants of the &lt;strong&gt;Particle Swarm Optimisation (PSO)&lt;/strong&gt; algorithm, designed to efficiently explore complex parameter spaces commonly associated with non-linear, non-smooth, and computationally demanding models.&lt;/p&gt;
&lt;p&gt;The package was conceived with practical modelling workflows in mind. It is fully model-independent, allowing users to couple the optimisation engine with virtually any simulation model, whether implemented in R or executed externally, without requiring modifications to the model&amp;rsquo;s internal code. This architecture makes 
 particularly suitable for systematic calibration of hydrological and environmental models, where reproducibility, transparency, and flexibility are essential.&lt;/p&gt;
&lt;p&gt;To support rigorous model evaluation, 
 includes advanced diagnostic and sensitivity analysis capabilities, as well as comprehensive graphical summaries that facilitate interpretation of optimisation results. Its parallel computing support enables efficient use of multi-core machines and computing clusters, helping to reduce the computational burden associated with large-scale or high-resolution simulations.&lt;/p&gt;
&lt;p&gt;Widely used in research, teaching, and applied modelling, 
 provides a technically sound and operationally reliable optimisation environment. It is especially well suited for users who require a scalable, transparent, and methodologically robust tool to calibrate complex models and support evidence-based analysis in hydrology and related environmental sciences.&lt;/p&gt;
&lt;h2 id=&#34;reference&#34;&gt;Reference&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Zambrano-Bigiarini, M. and Rojas, R. (2013). 
, Environmental Modelling &amp;amp; Software, 43, 5-25, doi:10.1016/j.envsoft.2013.01.004.&lt;/li&gt;
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&lt;figure&gt;&lt;img src=&#34;https://hzambran.github.io/rpackages/hydropso/hydroPSO-logo.jpg&#34;
    alt=&#34;hydroTSM R package.&#34;&gt;&lt;figcaption&gt;
      &lt;p&gt;R package.&lt;/p&gt;
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