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Dall'Asta, Luca; Pin, Paolo; Ramezanpour, Abolfazl. |
We consider any network environment in which the “best shot game” is played. This is the case where the possible actions are only two for every node (0 and 1), and the best response for a node is 1 if and only if all her neighbors play 0. A natural application of the model is one in which the action 1 is the purchase of a good, which is locally a public good, in the sense that it will be available also to neighbors. This game will typically exhibit a great multiplicity of equilibria. Imagine a social planner whose scope is to find an optimal equilibrium, i.e. one in which the number of nodes playing 1 is minimal. To find such an equilibrium is a very hard task for any non-trivial network architecture. We propose an implementable mechanism that, in the... |
Tipo: Working or Discussion Paper |
Palavras-chave: Networks; Best Shot Game; Simulated Annealing; Institutional and Behavioral Economics; C61; C63; D85; H41. |
Ano: 2009 |
URL: http://purl.umn.edu/50684 |
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Benvenga,MAC; Nääs,IA; Lima,NDS; Carvalho-Curi,TMR; Reis,JGM. |
ABSTRACT The present study aimed to apply the Simulated Annealing (SA) optimization algorithm to find the ideal control of broiler housing rearing environment at 21, 28, 35, and 42 days of growth. Data from four types of houses using environmental control and similar flock density were recorded weekly in the morning and afternoon, during two seasons (summer and winter). The variables related to environmental and air quality data (temperature, relative humidity, air velocity, ammonia, and carbon dioxide concentrations) were registered and organized into the database to provide a descriptive analysis. The ideal rearing conditions were established as a goal, and we used the Simulated Annealing optimization algorithm to process the data. Such an approach may... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Broiler rearing; Broiler production; Heat stress mitigation; Simulated Annealing. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2020000300315 |
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