AI generated summary of Pubmed citation/abstract with PMID 38091759

https://pubmed.ncbi.nlm.nih.gov/38091759

This study proposes a neurodynamic penalty approach in the framework of particle swarm optimization to solve a nonconvex distributed optimization problem with nonconvex objective functions and inequality constraints, aiming to find the globally optimal solution through local searches and iterative improvement.