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Wavelet based approaches in optimization theory and practice

机译:优化理论与实践中基于小波的方法

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Panoramic survey of wavelets in optimization techniques is presented as part of ongoing research in applications of wavelet theory to science and technology. The main aim of this article is to study the most efficient techniques and to investigate the extent of improvement achievable by enhancing them with wavelet transform. The article proposes to compile and analyze the comparative performances of various advanced optimization methods using wavelets and the associated transform, highlighting their relative advantages over traditional methods. Numerous applications of optimized wavelets are investigated in biomedical science, neuroscience, and computer science.
机译:小波在优化技术中的全景调查是将小波理论应用到科学技术中正在进行的研究的一部分。本文的主要目的是研究最有效的技术,并研究通过小波变换增强这些技术可以实现的改进程度。本文提出使用小波和相关变换来编译和分析各种高级优化方法的比较性能,以突出它们相对于传统方法的相对优势。在生物医学,神经科学和计算机科学中研究了优化小波的许多应用。

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