This implementation uses Simulated Annealing, a probabilistic technique inspired by the annealing process in metallurgy, to find near-optimal solutions.

On Wednesday, OpenAI announced the release of two new models—o3 and o4-mini—that combine simulated reasoning capabilities ...

The Simulated Bifurcation (SB ... The four following code snippets all create equivalent polynomials 💡 Tip: it is faster to run once the algorithm with N agents than to run N times the algorithm with ...

The upper layer optimizes multi-UAV deployment using the density-constrained K-medoids clustering and simulated annealing algorithm, achieving globally optimal solutions. The lower layer addresses ...

We developed an in-house code based on Python and LAMMPS, enabling the generation of epoxy resin structures with high degrees of cross-linking. In our work, the epoxy network is dynamically formed ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite global efforts to transition from fossil fuels to ...

The paper reports the comparative study on two reverse neural networks algorithms involving several combinations of databases established from the results obtained from simulated indentation tests.