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Optimization over the efficient set of multi-objective convex optimal control problems
The final publication is available at link.springer.com
An improved differential evolution algorithm for the task assignment problem
An improved differential evolution algorithm (IDE) is proposed to solve task assignment problem. The IDE is an improved version of differential evolution algorithm (DE), and it modifies two important parameters of DE algorithm: scale factor and crossover rate. Specially, scale factor is adaptively adjusted According to the objective function values of all candidate solutions, and crossover rate is dynamically adjusted with the increasement of iterations. The adaptive scale factor and dynamical crossover rate are combined to increase the diversity of candidate solutions, and to enhance the exploration capacity of solution space of the proposed algorithm. In addition, a usual penalty function method is adopted to trade-off the objective and the constraints. Experimental results demonstrate that the optimal solutions obtained by the IDE algorithm are all better than those obtained by the other two DE algorithms on solving some task assignment problems.
The economics degree in Australia : down but not out?
Before 1980, strong demand existed in Australia for the economics degree. Since then, competition from programs in business and management has increased. Student preferences have shifted from university and secondary economics. Economics enrollments have declined in both sectors. The authors analyze these trends and assess economic education publications by Australian economists.
Absorptive capacity, foreign direct investment-linked spillovers and economic growth in Vietnam
Clinical pharmacists in primary care : reform and opportunity
The Australian health system is evolving to accommodate demographic pressures of an ageing population, increased public health challenges and the growing burden of chronic disease. The goal is to have primary care clinical pharmacists practising collaboratively alongside doctors in a multidisciplinary primary care environment in existing community care locations, such as GP networks and in new locations such as the GP Super Clinics.
The role of personality in the job demands-resources model: a study of Australian academic staff
Comparison of organic and inorganic amendments for enhancing soil lead phytoextraction by wheat (Triticum aestivum L.)
Identifying strengths and weaknesses of landscape visualisation for effective communication of future alternatives
Visualisation technologies are powerful tools for communicating the scientific outcomes of environmental planning models. This study specifically explores the strengths and weaknesses of landscape visualisation techniques in environmental planning by drawing upon insights from the multi-agency Lower Murray Landscape Futures (LMLF) integrated modelling and analysis project in south-eastern Australia. The project explored spatially explicit policy options and scenarios for assessing the impacts of achieving regional natural resource management targets. Alternative landscape futures were communicated using a range of visualisation techniques available online. We assessed the strengths and weaknesses of the suite of visualisation products deployed for communicating landscape futures to two audiences (i) current users comprising environmental managers and planners working within the study area and (ii) future users comprising university students currently studying spatial information sciences as part of their environmental management program. Semi-structured interviews and website evaluation surveys were undertaken with current users and future users, respectively. Results indicate that both audiences appreciated the environmental planning and investment decision support strengths of the visualisation products. The current users had concerns around the target audience and the nature and extent of communications and stakeholder engagement in product development. The future user group were more interested in the visual clarity of the visualisation products. End user feedback provided a number of useful recommendations in relation to how the visualisation products could be refined to improve the communication effectiveness and end user experience. We conclude by presenting a number of future directions for landscape visualisation science and communication of environmental modelling outcomes.