نتایج جستجو برای: moving peaks benchmark
تعداد نتایج: 196246 فیلتر نتایج به سال:
Current state-of-the-art methodologies are mostly developed for stationary optimization problems. However, many real world problems are dynamic in nature, where dierent types of changes may occur over time. Population based approaches, such as evolutionary algorithms are frequently used in dynamic environments. Selection hyper-heuristics are highly adaptive search methodologies that aim to rais...
The current COVID-19 pandemic and the preventive measures taken to contain spread of disease have drastically changed patterns our behavior. movement restrictions significant influences on behavior environment energy profiles. In 2020, reliability power system became critical under lockdown conditions chaining in electrical consumption will a long-term effect Unlike previous studies that covere...
Many optimisation problems are dynamic in the sense that changes occur during the optimisation process, and therefore are more challenging than the stationary problems. To solve dynamic optimisation problems, the proposed approaches should not only attempt to seek the global optima but be able to also keep track of changes in the track record of landscape solutions. In this research work, one o...
Many real world optimization problems are dynamic in which global optimum and local optima change over time. Particle swarm optimization has performed well to find and track optima in dynamic environments. In this paper, we propose a new particle swarm optimization algorithm for dynamic environments. The proposed algorithm utilizes a parent swarm to explore the search space and some child swarm...
We propose a probabilistic video model, the Video Pixel Network (VPN), that estimates the discrete joint distribution of the raw pixel values in a video. The model and the neural architecture reflect the time, space and color structure of video tensors and encode it as a fourdimensional dependency chain. The VPN approaches the best possible performance on the Moving MNIST benchmark, a leap over...
We report on several features in the energy spectrum from an ultralow-noise germanium detector operated deep underground. By implementing a new technique able to reject surface events, a number of cosmogenic peaks can be observed for the first time. We discuss an irreducible excess of bulklike events below 3 keV in ionization energy. These could be caused by unknown backgrounds, but also dark m...
Large-scale patterns of spatial variation in species geographic range size are central to many fundamental questions in macroecology and conservation biology. However, the global nature of these patterns has remained contentious, since previous studies have been geographically restricted and/or based on small taxonomic groups. Here, using a database on the breeding distributions of birds, we re...
OBJECTIVES To estimate annual changes and trends in the population of informal carers and to investigate transitions to caregiving by age, gender, locus of care, and level of involvement. DESIGN Longitudinal analysis of data from the British household panel survey, 1991 to 1998, an annual prospective survey of a nationally representative sample of more than 5000 private households in England,...
We consider a methodology based in B-splines scaling functions to numerically invert Fourier or Laplace transforms. The methodology is particularly well suited when the original function or its derivatives present peaks or jumps due to discontinuities in the domain.
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