@inproceedings{KnaufBruns2019,
  author    = {Florian Knauf and Ralf Bruns},
  title     = {A Peek into the Swarm: Analysis of the Gravitational Search Algorithm and Recommendations for Parameter Selection},
  series = {GECCO'19: Proceedings of the 2019 Genetic and Evolutionary Computation Conference, Prague, Czech Republic — July 13 - 17, 2019},
  publisher = {The Assiciation for Computing Machinery (ACM)},
  address   = {New York},
  isbn      = {978-1-4503-6111-8},
  doi       = {10.25968/opus-1507},
  url       = {http://nbn-resolving.de/urn:nbn:de:bsz:960-opus4-15078},
  pages     = {30 -- 38},
  year      = {2019},
  abstract  = {The Gravitational Search Algorithm is a swarm-based optimization metaheuristic that has been successfully applied to many problems. However, to date little analytical work has been done on this topic. This paper performs a mathematical analysis of the formulae underlying the Gravitational Search Algorithm. From this analysis, it derives key properties of the algorithm's expected behavior and recommendations for parameter selection. It then confirms through empirical examination that these recommendations are sound.},
  language  = {en}
}