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Registros recuperados: 26 | |
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Mairet, Francis; Bayen, Térence. |
Given their key roles in almost all ecosystems and in several industries, understanding and predicting microorganism growth is of utmost importance. In compliance with evolutionary principles, coarse-grained or genome-scale models of microbial growth can be used to determine optimal resource allocation scheme under dynamic environmental conditions. Resource allocation approaches have given important qualitative results, but it still remains a gap towards quantitiative predictions. The first step in this direction is parameter calibration with experimental data. But fitting these models results in a bi-level optimization problem, whose numerical resolution involves complex optimization issues. As a case study, we present here a coarse-grained model... |
Tipo: Text |
Palavras-chave: Bi-level optimization; Optimal control; Pontryagin’s principle; Chattering; Microbial growth; Microalgae. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00690/80163/83228.pdf |
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Burnett, Kimberly M.; Kaiser, Brooks A.; Pitafi, Basharat A.K.; Roumasset, James A.. |
Invasive species change ecosystems and the economic services such ecosystems provide. Optimal policy will minimize the expected damages and costs of prevention and control. We seek to explain policy outcomes as a function of biological and economic factors, using the case of Hawaii to illustrate. First, we consider an existing invader, Miconia calvescens, a plant with the potential to reduce biodiversity, soil cover, and water availability. We then examine an imminent threat, the potential arrival of the Brown treesnake (Boiga irregularis). The arrival of the snake in Guam has led to native bird extirpations, power outages, and health costs. |
Tipo: Journal Article |
Palavras-chave: Invasive species; Bioeconomics; Optimal control; Miconia calvescens; Boiga; Resource /Energy Economics and Policy. |
Ano: 2006 |
URL: http://purl.umn.edu/10178 |
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Secchi, Silvia; Hurley, Terrance M.; Hellmich, Richard L.. |
Genetically engineered Bt (Bacillus thuringiensis) corn provides farmers with a new tool for controlling the European corn borer (ECB). The high efficacy and potential rapid adoption of Bt corn has raised concerns that the ECB will develop resistance to Bt. The Environmental Protection Agency has responded to these concerns by requiring farmers to plant refuge corn. Current refuge requirements are based on models that do not consider the value of dynamically varying refuge in response to increased scarcity and diminished control over time or the importance of backstop technologies currently being developed. The purpose of this paper is to evaluate dynamically optimal refuge requirements with the arrival of alternative backstop technologies and to compare... |
Tipo: Working or Discussion Paper |
Palavras-chave: Bt corn; Optimal control; Pesticide resistance; Crop Production/Industries. |
Ano: 2001 |
URL: http://purl.umn.edu/18626 |
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Eiswerth, Mark E.; van Kooten, G. Cornelis; Lines, Jeff M.; Eagle, Alison J.. |
Nonnative invasive species result in sizeable economic damages and expensive control costs. Because dynamic optimization models break down if controls depend in complex ways on past controls, non-uniform or scale-dependent spatial attributes, etc., decision support systems that allow learning may be preferred. We compare three models of an invasive weed in California’s grazing lands: (1) a stochastic dynamic programming model, (2) a reinforcement-based, experience-weighted attraction (EWA) learning model, and (3) an EWA model that also includes stochastic forage growth and penalties for repeated application of environmentally harmful control techniques. Results indicate that EWA learning models may be appropriate for invasive species management. |
Tipo: Working or Discussion Paper |
Palavras-chave: Invasive weed species; Optimal control; Adaptive management; Environmental Economics and Policy; C73; Q57. |
Ano: 2005 |
URL: http://purl.umn.edu/37015 |
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Doole, Graeme J.. |
Many important problems in agricultural and natural resource economics concern an intertemporal choice between alternate dynamic systems. This significance has motivated a theoretical literature generalizing the necessary conditions of Optimal Control Theory to multiple-phase problems. However, gaining detailed insight into their practical management is difficult because general numerical solution methods are not available. This paper resolves this deficiency through the development of a flexible and efficient computational algorithm based on a set of necessary conditions derived for finite-time, multiple-phase systems. Its effectiveness is demonstrated in an application to a nontrivial crop rotation problem. |
Tipo: Journal Article |
Palavras-chave: Crop management; Multiple-phase systems; Optimal control; Crop Production/Industries; Resource /Energy Economics and Policy. |
Ano: 2009 |
URL: http://purl.umn.edu/50082 |
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Sedjo, Roger A.; Lyon, Kenneth S.. |
This study involves an update of our earlier Timber Supply Model, which was fully developed in our book, The Adequacy Of Global Timber Supply by Sedjo and Lyon (1990), published by Resources for the Future. The new version, called Timber Supply Model 1996 (TSM96), uses an economic market supply/demand approach to project an intertemporal time path of the world's price and output level of industrial wood. As did the original TSM, the TSM96 provides projections of the time path of the equilibrium output levels of the several regions into which the world has been subdivided. A major new feature of TSM96 is that industrial wood, treated as homogeneous in the earlier study, has be subdivided into two different wood types -- pulpwood and solidwood. The supply of... |
Tipo: Working or Discussion Paper |
Palavras-chave: Timber models; Markets; Optimal control; Projections; Timber supply; Resource /Energy Economics and Policy; C62; Q21; Q23. |
Ano: 1996 |
URL: http://purl.umn.edu/10696 |
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Cacho, Oscar J.; Jones, Randall E.. |
It is argued in this paper that static approaches to weed management, where the benefits and costs are only considered within a single season, are inappropriate for assessing the economic benefits of weed control technologies. There are carryover effects from weed management as weeds that escape control in one season may reproduce and replenish weed populations in following seasons. Consequently, it is appropriate to view weed control in the context of a resource management problem where the goal is to determine the optimal inter-temporal level of weed control that maximises economic benefits over some pre-determined period of time. A dynamic optimisation model for weed control is presented. Using the tools of comparative static analysis and Pontryagin's... |
Tipo: Working or Discussion Paper |
Palavras-chave: Weed control; Resource economics; Optimal control; Dynamic programming; Wild oats; Farm Management. |
Ano: 2000 |
URL: http://purl.umn.edu/12902 |
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Registros recuperados: 26 | |
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