FICHA · AUR

libcmaes-openmp

C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy. Build with OpenMP support.

  • Library
  • Dev
  • SCIENCE
  • Dependency only
official+codex · reviewed · Jun 1, 2026 description in en

Description

High-performance CMA-ES optimization helps software search for good solutions when formulas are hard to differentiate or the best answer must be found by repeated experiments. The OpenMP build can use multiple CPU cores for heavier workloads.

This is mainly for developers, researchers, and scientific applications that call the library from C++ or Python. It is not a standalone optimizer for casual use; installing it supplies code that other programs link to or import.

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