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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=73557"><dc:title>Differential evolution and large-scale optimization applications</dc:title><dc:creator>Zamuda,	Aleš	(Avtor)
	</dc:creator><dc:subject>differential Evolution</dc:subject><dc:subject>optimization</dc:subject><dc:subject>algorithms</dc:subject><dc:subject>stochastic methods</dc:subject><dc:subject>tree models</dc:subject><dc:subject>tree model reconstruction</dc:subject><dc:description>Differential Evolution (DE) is one of the most popular, high-performance optimization algorithms with variants that have been outperforming others for years. As a result, DE has grown to accommodate wide usage for a variety of disciplines across scientific fields. Differential Evolution and Large-Scale Optimization Applications presents a research-based overview and cross-disciplinary applications of optimization algorithms. Emphasizing applications of Differential Evolution (DE) across sectors and laying the foundation for further use of DE algorithms in real-world settings, this video is an essential resource for researchers, engineers, and graduate-level students. Topics Covered : Algorithms, Optimization, Parallel Differential Evolution, Performance Improvement, Stochastic Methods, Tree Model Reconstruction.</dc:description><dc:publisher>IGI Global</dc:publisher><dc:date>0</dc:date><dc:date>2019-05-14 13:51:57</dc:date><dc:type>Delo ni kategorizirano</dc:type><dc:identifier>73557</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
