Multiobjective fuzzy optimization for sustainable groundwater management using particle swarm optimization and analytic element method

Groundwater management involves conflicting objectives as maximization of discharge contradicts the criteria of minimum pumping cost and minimum piping cost. In addition, available data contains uncertainties such as market fluctuations, variations in water levels of wells and variations of ground water policies. A fuzzy model is to be evolved to tackle the uncertainties, and a multiobjective optimization is to be conducted to simultaneously satisfy the contradicting objectives. Towards this end, a multiobjective fuzzy optimization model is evolved. To get at the upper and lower bounds of the individual objectives, particle Swarm optimization (PSO) is adopted. The analytic element method (AEM) is employed to obtain the operating potentio metric head. In this study, a multiobjective fuzzy optimization model considering three conflicting objectives is developed using PSO and AEM methods for obtaining a sustainable groundwater management policy. The developed model is applied to a case study, and it is demonstrated that the compromise solution satisfies all the objectives with adequate levels of satisfaction. Sensitivity analysis is carried out by varying the parameters, and it is shown that the effect of any such variation is quite significant. Copyright (c) 2015 John Wiley & Sons, Ltd.

On the choice of posittioning and cluster size for fixed relay stations in a LTE network

The long term evolution (LTE) is one of the latest standards in the mobile communications market. To achieve its performance, LTE networks use several techniques, such as multi-carrier technique, multiple-input-multiple-output and cooperative communications. Inside cooperative communications, this paper focuses on the fixed relaying technique, presenting a way for determining the best position to deploy the relay station (RS), from a set of empirical good solutions, and also to quantify the associated performance gain using different cluster size configurations. The best RS position was obtained through realistic simulations, which set it as the middle of the cell's circumference arc. Additionally, it also confirmed that network's performance is improved when the number of RSs is increased. It was possible to conclude that, for each deployed RS, the percentage of area served by an RS increases about 10 %. Furthermore, the mean data rate in the cell has been increased by approximately 60 % through the use of RSs. Finally, a given scenario with a larger number of RSs, can experience the same performance as an equivalent scenario without RSs, but with higher reuse distance. This conduces to a compromise solution between RS installation and cluster size, in order to maximize capacity, as well as performance.

A conceptual multi-criteria mechanism for stakeholder participation in urban development

Australia is one of the world’s most urbanised nations, with 74.92% of the population living in 17 major cities of 100,000 people or more. To improve the productivity, liveability and sustainability of Australia’s cities, there is an increasing emphasis in urban management policies on democratic stakeholder participation. In order to obtain a full picture of stakeholders’ concerns efficiently, and manage antagonism, prejudice and conflicts between stakeholders effectively, it is important for participatory decision-making in urban development to be able to select and integrate stakeholder analysis and engagement methods. This paper investigates the characteristics of stakeholder participation approaches in urban development, and proposes criteria for approach selection and integration. The outcome is a multi-criteria mechanism for selecting and integrating approaches to stakeholder participation. This could enable effective, efficient and democratic participation in decision-making process of urban development. Meanwhile, the capacity of Australian state, territory and local governments can be largely enhanced to understand and unpack the complex challenges of urban-ecological conditions, and generate a compromise solution that best represents the preferences of stakeholders.

A multi-objective ant colony optimization algorithm based on the physarum-inspired mathematical model

Multi-objective traveling salesman problem (MOTSP) is an important field in operations research, which has wide applications in the real world. Multi-objective ant colony optimization (MOACO) as one of the most effective algorithms has gained popularity for solving a MOTSP. However, there exists the problem of premature convergence in most of MOACO algorithms. With this observation in mind, an improved multiobjective network ant colony optimization, denoted as PMMONACO, is proposed, which employs the unique feature of critical tubes reserved in the network evolution process of the Physarum-inspired mathematical model (PMM). By considering both pheromones deposited by ants and flowing in the Physarum network, PM-MONACO uses an optimized pheromone matrix updating strategy. Experimental results in benchmark networks show that PM-MONACO can achieve a better compromise solution than the original MOACO algorithm for solving MOTSPs.

Sobre o sistema de amortização linear crescente

Aiming to reach a compromise solution to the issues of default risk and the payment capacity of takers of housing loans, Jorge Oscar de Mello Flôres submited to the Banco Nacional de Habitação, which was then in charge of the Brazilian System of Housing Financing, what he named as the Linearly Increasing System of Amortization. (LISA). Following a critical analysis of the LISA, it is proposed the alternative named as the Generalyzed System of Mixed Amortization (GSMA).

Optimizing the creation of base populations for aquaculture breeding programs using phenotypic and genomic data and its consequences on genetic progress

The success of an aquaculture breeding program critically depends on the way in which the base population of breeders is constructed since all the genetic variability for the traits included originally in the breeding goal as well as those to be included in the future is contained in the initial founders. Traditionally, base populations were created from a number of wild strains by sampling equal numbers from each strain. However, for some aquaculture species improved strains are already available and, therefore, mean phenotypic values for economically important traits can be used as a criterion to optimize the sampling when creating base populations. Also, the increasing availability of genome-wide genotype information in aquaculture species could help to refine the estimation of relationships within and between candidate strains and, thus, to optimize the percentage of individuals to be sampled from each strain. This study explores the advantages of using phenotypic and genome-wide information when constructing base populations for aquaculture breeding programs in terms of initial and subsequent trait performance and genetic diversity level. Results show that a compromise solution between diversity and performance can be found when creating base populations. Up to 6% higher levels of phenotypic performance can be achieved at the same level of global diversity in the base population by optimizing the selection of breeders instead of sampling equal numbers from each strain. The higher performance observed in the base population persisted during 10 generations of phenotypic selection applied in the subsequent breeding program.

The Judicial Dimension of the European Neighbourhood Policy. EU Diplomacy Paper 08/2013, November 2013

In this paper, the expression “neighbourhood policy” of the European Union (EU) is understood in a broad way which includes the members of the European Free Trade Association (EFTA) contracting parties to the European Economic Area (EEA), the EFTA State Switzerland, candidate states, the countries of the European Neighbour-hood Policy (ENP), and Russia. The European Court of Justice (ECJ) is the centre of gravity in the judicial dimension of this policy. The innermost circle of integration after the EU itself comprises the EFTA States who are party to the European Economic Area. With the EFTA Court, they have their own common court. The existence of two courts – the ECJ and the EFTA Court – raises the question of homogeneity of the case law. The EEA homogeneity rules resemble the ones of the Lugano Convention. The EFTA Court is basically obliged to follow or take into account relevant ECJ case law. But even if the ECJ has gone first, there may be constellations where the EFTA Court comes to the conclusion that it must go its own way. Such constellations may be given if there is new scientific evidence, if the ECJ has left certain questions open, where there is relevant case law of the European Court of Human Rights or where, in light of the specific circumstances of the case, there is room for “creative homogeneity”. However, in the majority of its cases the EFTA Court is faced with novel legal questions. In such cases, the ECJ, its Advocates General and the Court of First Instance make reference to the EFTA Court’s case law. The question may be posed whether the EEA could serve as a model for other regional associations. For the ENP states, candidate States and Russia this is hard to imagine. Their courts will to varying degrees look to the ECJ when giving interpretation to the relevant agreements. The Swiss Government is – at least for the time being – unwilling to make a second attempt to join the EEA. The European Commission has therefore proposed to the Swiss to dock their sectoral agreements with the EU to the institutions of the EFTA pillar, the EFTA Surveillance Authority (ESA) and the EFTA Court. Switzerland would then negotiate the right to nominate a member of the ESA College and of the EFTA Court. The Swiss Government has, however, opted for another model. Swiss courts would continue to look to the ECJ, as they did in the past, and conflicts should also in the future be resolved by diplomatic means. But the ECJ would play a decisive role in dispute settlement. It would, upon unilateral request of one side, give an “authoritative” interpretation of EU law as incorporated into the relevant bilateral agreement. In a “Non-Paper” which was drafted by the chief negotiators, the interpretations of the ECJ are even characterised as binding. The decision-making power would, however, remain with the Joint Committees where Switzerland could say no. The Swiss Government assumes that after a negative decision by the ECJ it would be able to negotiate a compromise solution with the Commission without the ECJ being able to express itself on the outcome. The Government has therefore not tried to emphasise that the ECJ would not be a foreign court. Whether the ECJ would accept its intended role, is an open question. And if it would, the Swiss Government would have to explain to its voters that Switzerland retains the freedom to disregard such a binding decision and that for this reason the ECJ is not only no foreign court, but no adjudicating court at all.

A study on independent component analysis over galois fields

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2015.

Cost sharing solutions defined by non-negative eigenvectors

The problem of sharing a cost M among n individuals, identified by some characteristic ci∈R+,ci∈R+, appears in many real situations. Two important proposals on how to share the cost are the egalitarian and the proportional solutions. In different situations a combination of both distributions provides an interesting approach to the cost sharing problem. In this paper we obtain a family of (compromise) solutions associated to the Perron’s eigenvectors of Levinger’s transformations of a characteristics matrix A. This family includes both the egalitarian and proportional solutions, as well as a set of suitable intermediate proposals, which we analyze in some specific contexts, as claims problems and inventory cost games.

Two-machine shop scheduling: Compromise between flexibility and makespan value

In this paper, we consider the problem of providing flexibility to solutions of two-machine shop scheduling problems. We use the concept of group-scheduling to characterize a whole set of schedules so as to provide more choice to the decision-maker at any decision point. A group-schedule is a sequence of groups of permutable operations defined on each machine where each group is such that any permutation of the operations inside the group leads to a feasible schedule. Flexibility of a solution and its makespan are often conflicting, thus we search for a compromise between a low number of groups and a small value of makespan. We resolve the complexity status of the relevant problems for the two-machine flow shop, job shop and open shop. A number of approximation algorithms are developed and their worst-case performance is analyzed. For the flow shop, an effective heuristic algorithm is proposed and the results of computational experiments are reported.

Using mobile agents to detect node compromise in path-based DoS attacks on wireless sensor networks

Wireless sensor networks represent a new generation of real-time  embedded systems with significantly different communication constraints from the traditional networked systems. With their development, a new attack called a path-based DoS (PDoS) attack has appeared. In a PDoS attack, an adversary, either inside or outside the network, overwhelms sensor nodes by flooding a multi-hop endto- end communication path with either replayed packets or injected spurious packets. In this article, we propose a solution using mobile agents which can detect PDoS attacks easily.

Using mobile agents to detect and recover from node compromise in path-based DoS attacks in wireless sensor networks

Wireless sensor networks represent a new generation of real-time embedded systems with significantly different communication constraints from the traditional networked systems. With their development, a new attack called a path-based DoS (PDoS) attack has appeared. In a PDoS attack, an adversary, either inside or outside the network, overwhelms sensor nodes by flooding a multi-hop end-to end communication path with either replayed packets or injected spurious packets. Detection and recovery from PDoS attacks have not been given much attention in the literature. In this article, we propose a solution using mobile agents which can detect PDoS attacks easily and efficiently and recover the compromised nodes.

Biomimetic apatite formation on Ultra-High Molecular Weight Polyethylene (UHMWPE) using modified biomimetic solution

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Modell Deutschland as an Interdenominational Compromise, CES Germany & Europe Working Papers, No. 00.3, 2000

Usually, Germany’s social market economy is understood to embody a compromise between a liberal market order and a corporatist welfare state. While this reading of the German case is certainly not entirely wrong, this paper argues that only if we account for the close intellectual correspondence between lutheran Protestantism and economic liberalism on the one hand and between Catholicism and welfare corporatism on the other, can we fully comprehend the nature of the German post-war compromise. In particular, this perspective allows to better explain the anti-liberal undercurrents of Germany’s soziale Marktwirtschaft. It was especially the role which Protestant Ordoliberals ascribed to the state in upholding economic order and market discipline which accounts for the major difference between ‘classic’ and ‘German-style’ economic liberalism. Yet, the postwar economic order did not represent a deliberately struck compromise between the two major Christian denominations. Rather, Germany’s social market economy was the result of the failure of German Protestant Ordoliberals to prevent the reconstruction of the catholic Bismarckian welfare state after the authoritarian solution, which Ordoliberals had endorsed so strongly up until 1936 and from which they had hoped the re-inauguration of Protestant hegemony, had so utterly failed. Since the ordoliberal doctrine up to the present day lacks a clear understanding of the role of the corporatist welfare state within the German political economy, its insights into the functioning logic of German capitalism have remained limit. The paper also claims that accounting for the denominational roots of the postwar compromise allows us to better understand the relationship between consociationalism and corporatism in ‘Modell Deutschland’.

Compromise or Quit Medical Practice: Is there Another Option for Catholic Health Care Professionals

More and more, medical practitioners are being told that they must either compromise their beliefs and provide whatever services patients demand or they should quit medical practice. This paper will explore other options that would offer a more just and respectful solution for our pluralistic society.