Highly optimized tolerance: robustness and design in complex systems

By J. M. Carlson, John C. Doyle. Physical Review Letters, 2000

351 citations recorded by the source corpus.

Subfields: Condensed Matter Physics, Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/16bde60667b456e1f445c23be0985a1e4771573b

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In Condensed Matter Physics

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Citations in the corpus

Statistical mechanics of complex networks (2001, background): “The interplay between such local and global optimization processes is far from being fully understood (Carlson and Doyle, 1999, 2000; Doyle and Carlson, 2000).”
Geometric Programming for Communication Systems (2005, background): “Materials in this subsection are in part based on [28, 49, 30, 70].”
Perspectives on Resilience to Disasters across Sectors and Cultures (2011, background): “This is related to the notion of specified and general resilience and the highly optimized tolerance (HOT) proposition of Doyle and colleagues (Carlson and Doyle 2000), which states that the more robust you make a system in one way, necessarily the less robust it becomes in others.”
Colloquium: Criticality and dynamical scaling in living systems (2017, background): “(iii) Optimization and constrained optimization (Carlson and Doyle, 2000; Seoane and Solé, 2015).”
Accessibility of Cities in the Digital Economy (2004, background): “r-law distributions. However, there are a number of others that deserve a mention. One that has been receiving some attention recently is the highly optimized tolerance mechanism of Carlson and Doyle [65, 66]. The classic example of this mechanism is again a model of forest ﬁres and is based on the ”
Power laws and Self-Organized Criticality in Theory and Nature (2013, methodology): “Two sites are connected, on a square lattice with linear dimensions L [24], if they are nearest neighbors of each others and a group of sites is connected whenever there is a path of nearest neighbors between all sites of the cluster (see Fig.”
Power laws, Pareto distributions and Zipf's law (2005, background): “One that has been receiving some attention recently is the highly optimized tolerance mechanism of Carlson and Doyle [64, 65 ].”