@article{Ridge2007,
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.},
author = {Ridge, Enda and Curry, Edward},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Ridge, Curry - 2007 - A roadmap of nature-inspired systems research and development.pdf:pdf},
journal = {Multiagent and Grid Systems},
keywords = {asynchronous,decentralised,nature-inspired systems,parallel},
number = {1},
pages = {3--8},
title = {{A roadmap of nature-inspired systems research and development.}},
url = {http://www.edwardcurry.org/publications/Ridge_Roadmap_MAGS_2007.pdf},
volume = {3},
year = {2007}
}