Dynamic decentralization of harvesting constraints in the management of tychastic evolution of renewable resources
AbstractThis study proposes a new framework to tackle the uncertainty that prevails in the exploitation of renewable resources. It deals with the question of how to guarantee both a minimum multi-species harvest and the renewal of resources when their evolutions are uncertain. The problem is twofold: to decentralize a global constraint (on a multi-species harvest) into local constraints (on the resources of the different species) and, then, to use a “tychastic” approach necessitating only the forecasts of the lowers bounds of the resource growth rates. This study, formulated as a “tychastic” regulated system with viability constraints, departs from stochastic approaches generally used to deal with uncertain situations. It provides the time dependent harvesting rule allowing to always comply with a minimum harvest objective and resources replenishment thresholds whatever happens and a tychastic measure of risk viability in terms of minimum resources initially required. To solve this problem involving global and local constraints a new method that decentralizes the constraints has been devised. An example is presented whose numerical results are obtained thanks to a dedicated software using mathematical and algorithmic tools of viability theory. Copyright Springer-Verlag Berlin Heidelberg 2013
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Bibliographic InfoArticle provided by Springer in its journal Computational Management Science.
Volume (Year): 10 (2013)
Issue (Month): 4 (December)
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Web page: http://www.springerlink.com/link.asp?id=111894
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