Article

CSOMA: Derivative-Free Optimization Software for Optimal Experimental Design and Data Science Applications

2026-06-04

Abstract excerpt

<title>Abstract</title> <p>Derivative-free optimization is central to data science workflows in which objective functions are nonlinear, nonconvex, nonsmooth, simulation-based, or difficult to differentiate. We present \pkg{CSOMA}, an open-source \proglang{MATLAB} implementation of the competitive swarm optimizer with mutated agents (CSO-MA), and show how a single objective-function interface can support a broad...

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Literature Corpus work: f3380798-8122-565f-b6d2-1d1bae0ee49d
DOI: 10.21203/rs.3.rs-9745995/v1

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