Dynamic Particle Swarm Optimization in Nature Machine Intelligence

Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions

By Qiqi Duan

For details on Dynamic Particle Swarm Optimization, please refer to https://www.nature.com/articles/s42256-021-00366-3 directly.

Institutions

  • Karlsruhe Institute of Technology (KIT)
  • German Cancer Research Center (DKFZ)
  • University Hospital Heidelberg
  • National Center for Radiation Research in Oncology
  • Jülich Supercomputing Centre (JSC)
  • University of Duisburg-Essen

Computing Platform

On a supercomputer with about 1000 cores, PSO was run ~40000 core hours.

Copyright of the Background Figure: https://www.nationalgeographic.com/animals/article/these-birds-flock-in-mesmerizing-swarms-why-is-still-a-mystery.

visitors

Share: X (Twitter) Facebook LinkedIn