@article{ Ridge2007,
  title = {A roadmap of nature-inspired systems research and development.}
}
,
  url = {http://www.edwardcurry.org/publications/Ridge_Roadmap_MAGS_2007.pdf}
}
,
  journal = {Multiagent and Grid Systems}
}
,
  author = {Ridge, Enda and Curry, Edward}
}
,
  number = {1}
}
,
  abstract = {Nature-inspired algorithms such as genetic algorithms, particle swarm optimisation and ant colony algorithms have successfully solved computer science problems of search and optimisation. The initial implementations of these tech- niques focused on static problems solved on single machines. These have been ex- tended by adding parallelisation capabilities in the vein of distributed computing with a centralised master/slave approach. However, the natural systems on which nature-inspired algorithms are based possess many additional characteristics that are of potential benefit within computing environments. In this paper, we discuss the benefits of nature-inspired techniques within modern and emerging computing environments. Software entities within these environments execute and interact in a fashion that is parallel, asynchronous, and decentralised. Given that the natural environment is in itself parallel, asynchronous and decentralised, nature-inspired techniques are an excellent fit for computing environments that exhibit these char- acteristics. Future research challenges for nature-inspired techniques within emerg- ing computing environments are also discussed.}
}
,
  volume = {3}
}
,
  file = {:Users/ed/Documents/Mendeley Desktop//2007_Ridge, Curry.pdf:pdf}
}
,
  year = {2007}
}
,
  keywords = {asynchronous,decentralised,nature-inspired systems,parallel}
}
,
  pages = {3--8}
}