Vidal's libraryTitle: | Divide to Coordinate: Coevolutionary Problem Solving |
Author: | Stuart Kauffman, William G. Macready, and Emily Dickinson |
Year: | 1994 |
Abstract: | Optimization of systems with many conflicting constraints arises in numerous settings. Common optimization procedures seek to improve performance of the system as a whole. We show that coevolutionary problem solving, in which a system is partitioned into sub-systems each of which selfishly optimizes, can lead to enhanced performance as a collective emergent property. Optimally partitioned systems often lie near a transition from order to chaos. |
Cited by 19 - Google Scholar
@Unpublished{ macready94,
author = {Stuart Kauffman and William G. Macready and Emily
Dickinson},
title = {Divide to Coordinate: Coevolutionary Problem
Solving},
googleid = {xcptutFHNiIJ:scholar.google.com/},
year = 1994,
comment = {The patches problem solving algorithm. This
reasearch has been alluded to in many subsequent
publications, but I don't know if this paper has
been published.},
postscript = {ftp://ftp.santafe.edu/pub/wgm/patches.ps},
abstract = {Optimization of systems with many conflicting
constraints arises in numerous settings. Common
optimization procedures seek to improve performance
of the system as a whole. We show that
coevolutionary problem solving, in which a system is
partitioned into sub-systems each of which selfishly
optimizes, can lead to enhanced performance as a
collective emergent property. Optimally partitioned
systems often lie near a transition from order to
chaos.},
keywords = {complexity optimization genetic-algorithms},
url = {http://jmvidal.cse.sc.edu/library/patches-long.ps},
cluster = {2465236812133419717}
}
Last modified: Wed Mar 9 10:13:55 EST 2011