Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization

A novel explicit constraint handling technique for the covariance matrix adaptation evolution strategy (CMA-ES) is proposed. The proposed constraint handling exhibits two invariance properties. One is the invariance to arbitrary element-wise increasing transformation of the objective and constraint functions. The other is the invariance to arbitrary affine transformation of the search space. The proposed technique virtually transforms a constrained optimization problem into an unconstrained optimization problem by considering an adaptive weighted sum of the ranking of the objective function values and the ranking of the constraint violations that are measured by the Mahalanobis distance between each candidate solution to its projection onto the boundary of the constraints. Simulation results are presented and show that the CMA-ES with the proposed constraint handling exhibits the affine invariance and performs similarly to the CMA-ES on unconstrained counterparts.Comment: 9 page

Reconsidering UK Community Development Finance

The report includes ten case studies of community finance initiatives in the US and the EU. These highlight the different features of community finance organisations, their target group and their core activities in order to identify what aspects of their operation are integral to creating successful interventions in deprived communities. The objective of these case studies is to highlight particular aspects of their activities and operating environment that are instructive for CDF in the UK.Woodstock Institute provided case studies of US CDFIs

Computational neurorehabilitation: modeling plasticity and learning to predict recovery

Despite progress in using computational approaches to inform medicine and neuroscience in the last 30 years, there have been few attempts to model the mechanisms underlying sensorimotor rehabilitation. We argue that a fundamental understanding of neurologic recovery, and as a result accurate predictions at the individual level, will be facilitated by developing computational models of the salient neural processes, including plasticity and learning systems of the brain, and integrating them into a context specific to rehabilitation. Here, we therefore discuss Computational Neurorehabilitation, a newly emerging field aimed at modeling plasticity and motor learning to understand and improve movement recovery of individuals with neurologic impairment. We first explain how the emergence of robotics and wearable sensors for rehabilitation is providing data that make development and testing of such models increasingly feasible. We then review key aspects of plasticity and motor learning that such models will incorporate. We proceed by discussing how computational neurorehabilitation models relate to the current benchmark in rehabilitation modeling – regression-based, prognostic modeling. We then critically discuss the first computational neurorehabilitation models, which have primarily focused on modeling rehabilitation of the upper extremity after stroke, and show how even simple models have produced novel ideas for future investigation. Finally, we conclude with key directions for future research, anticipating that soon we will see the emergence of mechanistic models of motor recovery that are informed by clinical imaging results and driven by the actual movement content of rehabilitation therapy as well as wearable sensor-based records of daily activity

Incidental great public spaces and the role of urban design in South Africa

Urban Design in South Africa as a formal profession has a relatively short history. However, in practice, there have been many examples of what must be considered both good and bad Urban Design. There have also been numerous debates at universities and conferences on what Urban Design should be. However, in the constant making and re-making of urban and rural space, Urban Design has a tenuous and weak presence. This article interrogates the rather low profile of Urban Design in the country and why it is not growing or better positioned compared to other countries. This is done through a discussion of three cases that illustrate the often incidental making of great public spaces in contrast to the thoroughly planned approach. The article argues that spontaneous projects of high quality, rather than over-planned projects, where shortcomings result from this preoccupation to rationalise, often have a greater potential to strengthen the role and value of Urban Design. Such an approach would favour incremental, flexible and sensitive proposals and interventions where spontaneity and adaptation are recognised and celebrated, as well as support the notion that urban design should set a framework for many role players to respond to in shaping the city.&nbsp

An approach for change impact analysis in web systems - a industrial case study

There is a growing body of research on change impact analysis (CIA) approaches that specifically addresses changes and their impacts on architecture design. However, there is little research focus on approaches that particularly support the identification of impacts on architecture design resulting from business process changes i.e. early identification of change impacts in Web systems. To address this problem, we have proposed a systematic, structured and rigorous approach called as process model of CIA (PMCIA). PMCIA consists of a set of defined steps/activities, inputs, outputs, and employs architecture design information. In this paper we have presented the results of PMCIA validation in industrial setting through a detailed case study. The case study was carried out across two releases of a selected Web system project in an organization. The case study results indicate that the proposed approach, indeed, supports for early identification of change impacts in Web systems and provides Web developers the necessary components for systematically performing CIA. © 2013 SERSC

The New Australian System of Corporate Governance: Board Governance and Company Performance in a Changing Corporate Governance Environment

This paper investigates the changing duties and responsibilities of boards and directors of Australian public companies. The corporate governance environment in Australia is currently going through a period of significant transformation raising the question of whether in this fluid and shifting environment company and board performance can still be assessed largely on the basis of profit, share price and dividends generated over the short term. These almost certainly will continue for some time to be the key metrics of company and board performance and it is hard to see how it could be otherwise. Nevertheless, a growing chorus of influential stakeholders is calling for the introduction of a more balanced and comprehensive suite of performance indicators that better reflect the realities of corporate governance early in the Twentyfirst Century. The paper examines how these stakeholders are reshaping corporate governance in Australia and also calling for a reconsideration of the way in which performance is assessed

"Nourishing European Interest Groups: The Delors Commission and Labour"

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Paving the way for transitions --- a case for Weyl geometry

This paper presents three aspects by which the Weyl geometric generalization of Riemannian geometry, and of Einstein gravity, sheds light on actual questions of physics and its philosophical reflection. After introducing the theory's principles, it explains how Weyl geometric gravity relates to Jordan-Brans-Dicke theory. We then discuss the link between gravity and the electroweak sector of elementary particle physics, as it looks from the Weyl geometric perspective. Weyl's hypothesis of a preferred scale gauge, setting Weyl scalar curvature to a constant, gets new support from the interplay of the gravitational scalar field and the electroweak one (the Higgs field). This has surprising consequences for cosmological models. In particular it leads to a static (Weyl geometric) spacetime with "inbuilt" cosmological redshift. This may be used for putting central features of the present cosmological model into a wider perspective.Comment: 54 pp, 2 figs. To appear in D. Lehmkuhl (ed.) "Towards a Theory of Spacetime Theories", Einstein Studies, Basel: Birkhaeuser), revised version June 201

Individual-environment interactions in swimming: The smallest unit for analysing the emergence of coordination dynamics in performance?

Displacement in competitive swimming is highly dependent on fluid characteristics, since athletes use these properties to propel themselves. It is essential for sport scientists and practitioners to clearly identify the interactions that emerge between each individual swimmer and properties of an aquatic environment. Traditionally, the two protagonists in these interactions have been studied separately. Determining the impact of each swimmer’s movements on fluid flow, and vice versa, is a major challenge. Classic biomechanical research approaches have focused on swimmers’ actions, decomposing stroke characteristics for analysis, without exploring perturbations to fluid flows. Conversely, fluid mechanics research has sought to record fluid behaviours, isolated from the constraints of competitive swimming environments (e.g. analyses in two-dimensions, fluid flows passively studied on mannequins or robot effectors). With improvements in technology, however, recent investigations have focused on the emergent circular couplings between swimmers’ movements and fluid dynamics. Here, we provide insights into concepts and tools that can explain these on-going dynamical interactions in competitive swimming within the theoretical framework of ecological dynamics