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derivative-free-optimization

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[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]

  • Updated Dec 5, 2025
  • Python

Trust-Region Filter/Funnel (TRF) solver is developed using the concepts from nonlinear optimisation, derivative-free optimisation and surrogate modelling, and is used to optimise grey box optimisation problems (coupling glass box mathematical models with available derivative information and the black box models without derivative information).

  • Updated Nov 25, 2025
  • Python

🚀 Benchmark GPU and CPU performance accurately across diverse hardware using PyTorch and TensorFlow, generating metrics and dashboards for optimization.

  • Updated Dec 7, 2025
  • Python

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