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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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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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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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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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Miettinen, Antti; Huhtala, Anni. |
Our optimal control model identifies economic reasons as to why farmland bird populations have dramatically declined in modern agricultural landscapes. By integrating recreational wildlife values into farm level decision-making on arable crop choice and herbicide use, we derive those economic instruments needed for creating suitable conditions for game bird species on farmland. Based on the Finnish data available on the grey partridge (Perdix perdix), we illustrate how the optimal acreage subsidy for organically-grown areas, herbicide tax rates and the hunting licence fee could be estimated in monetary terms. Finally, we discuss the benefits and costs of cultivating organic cereals which will enhance preservation of the grey partridge. |
Tipo: Conference Paper or Presentation |
Palavras-chave: Environmental benefits; Grey partridge; Herbicides; Optimal control; Rye; Environmental Economics and Policy; Q57; Q18; H41. |
Ano: 2005 |
URL: http://purl.umn.edu/24462 |
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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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Registros recuperados: 26 | |
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