<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<ArticleSet>
<Article>
<Journal>
<PublisherName>International Academy of Ecology and Environmental Sciences</PublisherName>
<JournalTitle>Proceedings of the International Academy of Ecology and Environmental Sciences</JournalTitle>
<issn>2220-8860</issn>
<Volume>6</Volume>
<Issue>3</Issue>
<PubDate PubStatus="ppublish">
<Year>2016</Year>
<Month>9</Month>
<Day>1</Day>
</PubDate>
</Journal>
<ArticleTitle>Multi-purpose control of ecological and biological networks</ArticleTitle>
<Pages>75-83</Pages>
<Language>EN</Language>
<AuthorList>
<Author>Alessandro Ferrarini</Author>
</AuthorList>
<ArticleList>
<ArticleId IdType="url">http://www.iaees.org/publications/journals/piaees/articles/2016-6(3)/multi-purpose-control-of-ecological-and-biological-networks.pdf</ArticleId>>
</ArticleList>
<Abstract>
Evolutionary Network Control (ENC) allows the control of any kind of ecological and biological network, with an arbitrary number of nodes and links, acting from inside and/or from outside. To date, ENC has been applied to drive the dynamics of ecological and biological networks so that the target variable can reach the desired equilibrium value. In this work, ENC has been expanded to incorporate the multipurpose control of any kind of ecological and biological network. The rationale here is that, not one, but at least two, or even more than two, variables can be contemporaneously driven towards the desired equilibrium values. In theory, multipurpose ENC can lead an arbitrary number of network actors towards the desired equilibrium values. It is useful whenever ecological and biological networks present several taxonomic resolutions that are worthy to be controlled simultaneously.
</Abstract>
</Article>
</ArticleSet>
