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This is a Quantitative Study study.

October 13, 2025Open Access

Swarm Intelligence for Chemical Reaction Optimisation

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Novel swarm intelligence algorithm improves reaction optimisation in synthetic chemistry, suggesting advantages over Bayesian optimisation.

α-PSO identifies optimal reaction conditions more rapidly than Bayesian optimisation, enhancing synthetic chemistry efforts.
Evaluation of α-PSO shows competitive performance against state-of-the-art Bayesian optimisation methods in reaction benchmarks.
Theoretical framework for reaction landscape analysis assists in optimising performance for diverse reaction topologies.
The effective framework maintains methodological clarity, merging machine learning with interpretable optimisation techniques.

Schlama et al. (2025) studied this question.

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Novel swarm intelligence algorithm improves reaction optimisation in synthetic chemistry, suggesting advantages over Bayesian optimisation.