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CIBCB
2007
IEEE

Evolving Extremal Epidemic Networks

11 years 8 months ago
Evolving Extremal Epidemic Networks
The susceptible, infected, removed model for epidemics assumes that the population in which the epidemic takes place is well mixed. This strong assumption can be relaxed by permitting the epidemic to spread only along the links of a contact network or graph. This study uses evolutionary computation to search for graphs that exhibit one of two extreme behaviors: maximum epidemic duration or maximal number of individuals catching the disease. The focus of the paper is on comparison of two representations for evolvable networks. The first makes local expansions of the network specified by a linear chromosome. The second, a permutation-based representation, joins a large cycle with another cycle specified by the permutation. The linear chromosome representation, based on iterated simplexification, yields inferior results in both fitness measures but creates networks with a structure more like a personal contact network. Location of such behaviorally extreme networks will provide a se...
Dan Ashlock, Fatemeh Jafargholi
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where CIBCB
Authors Dan Ashlock, Fatemeh Jafargholi
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