628 resultados para Maximizing
Resumo:
Includes bibliography
Resumo:
This paper presents a new methodology for solving the optimal VAr planning problem in multi-area electric power systems, using the Dantzig-Wolfe decomposition. The original multi-area problem is decomposed into subproblems (one for each area) and a master problem (coordinator). The solution of the VAr planning problem in each area is based on the application of successive linear programming, and the coordination scheme is based on the reactive power marginal costs in the border bus. The aim of the model is to provide coordinated mechanisms to carry out the VAr planning studies maximizing autonomy and confidentiality for each area, assuring global economy to the whole system. Using the mathematical model and computational implementation of the proposed methodology, numerical results are presented for two interconnected systems, each of them composed of three equal subsystems formed by IEEE30 and IEEE118 test systems. © 2011 IEEE.
Resumo:
Includes bibliography
Resumo:
Introduction The social agenda is long-term in nature, in the sense that poverty alleviation along with a better distribution of income, wealth and opportunities are long-term goals. A sound macroeconomic policy, on the other hand, has to do largely with the consistent management of short-term policy instruments pursuing a sustainable and predictable pace for aggregate economic variables and major prices (wages, inflation, interest rates and exchange rates). In spite of the different arena and rationale in which they play, there are strong links between the two. First and most obvious, macroeconomic adjustment and structural reform are more likely to be sustainable when they are equitable. Second, social intervention —i.e., policies, programmes and reforms aimed at improving social performance in the long run—, needs stable funding which is not always available in view of macroeconomic constraints. Third, macroeconomic instability —especially episodes of recession or hyperinflation— increases poverty and inequality, while restoring macroeconomic equilibrium does not restore previous social balances. Finally, there is no unique macroeconomic policy mix to tackle a given situation, and the policy options may not be neutral from a social standpoint. Monetary, fiscal and exchange rate policies, together with structural reform, have major consequences for the social wellbeing of societies, not only in terms of protection against shocks and crises but also in terms of equity. Many, if not all, of the necessary social policies are of a domestic nature. This report thus concentrates on domestic strategies aimed at maximizing the linkages between consistent macroeconomic policies and social progress. Pursuing them, however, depends to a considerable extent on the international enabling environment in which the global financial system, the unsettled debt crisis and increasing ODA flows play a significant role. Countries operate in a world economy where market players everywhere immediately scrutinize domestic monetary, financial or fiscal policy decisions and the performance of exchange rate regimes of individual countries. Under these conditions, the room for manoeuvre of policymakers has become considerably constrained. Consequently, it is becoming increasingly complex to incorporate the social dimensions into such policy decisions, to the extent that external analysts consider that authorities are sacrificing sound macroeconomic policies. The main message of the report is that the expediency of short-term economic efficiency as embedded in much of the advice on macroeconomic stability needs to be tempered by long-term development objectives. The report starts with a short historical background which describes the ascendancy of macroeconomic policies over social development policies (chapter I). It continues with an evaluation of the relation between macroeconomic consistency and social effort (chapter II), and the importance of sustainable and stable growth for social progress (chapter III). The report then turns to the need for an equity-enhancing growth strategy (chapter IV) and an analysis of the priorities of social policies in an integrated approach to growth (chapter V). The final chapter adds some final institutional remarks.
Resumo:
In the last few years, crop rotation has gained attention due to its economic, environmental and social importance which explains why it can be highly beneficial for farmers. This paper presents a mathematical model for the Crop Rotation Problem (CRP) that was adapted from literature for this highly complex combinatorial problem. The CRP is devised to find a vegetable planting program that takes into account green fertilization restrictions, the set-aside period, planting restrictions for neighboring lots and for crop sequencing, demand constraints, while, at the same time, maximizing the profitability of the planted area. The main aim of this study is to develop a genetic algorithm and test it in a real context. The genetic algorithm involves a constructive heuristic to build the initial population and the operators of crossover, mutation, migration and elitism. The computational experiment was performed for a medium dimension real planting area with 16 lots, considering 29 crops of 10 different botanical families and a two-year planting rotation. Results showed that the algorithm determined feasible solutions in a reasonable computational time, thus proving its efficacy for dealing with this practical application.
Resumo:
Includes bibliography
Resumo:
Wireless Sensor Networks (WSNs) can be used to monitor hazardous and inaccessible areas. In these situations, the power supply (e.g. battery) of each node cannot be easily replaced. One solution to deal with the limited capacity of current power supplies is to deploy a large number of sensor nodes, since the lifetime and dependability of the network will increase through cooperation among nodes. Applications on WSN may also have other concerns, such as meeting temporal deadlines on message transmissions and maximizing the quality of information. Data fusion is a well-known technique that can be useful for the enhancement of data quality and for the maximization of WSN lifetime. In this paper, we propose an approach that allows the implementation of parallel data fusion techniques in IEEE 802.15.4 networks. One of the main advantages of the proposed approach is that it enables a trade-off between different user-defined metrics through the use of a genetic machine learning algorithm. Simulations and field experiments performed in different communication scenarios highlight significant improvements when compared with, for instance, the Gur Game approach or the implementation of conventional periodic communication techniques over IEEE 802.15.4 networks. © 2013 Elsevier B.V. All rights reserved.
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Resumo:
Pós-graduação em Alimentos e Nutrição - FCFAR
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Incluye Bibliografía
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)