Abstract: Model-driven optimization promises the availability of meta-heuristic approaches, such as evolutionary algorithms, for optimization problems to domain experts, without requiring deeper ...
Abstract: This letter proposes a low-sidelobe wideband design methodology for leaky-wave antennas based on an improved discrete mutation particle swarm optimization (IMDPSO) algorithm. The approach ...
Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...