Aleš Zamuda (Author)

Abstract

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.

Keywords

umetna inteligenca;diferencialna evolucija;optimizacijski algoritmi;differential Evolution;optimization;algorithms;stochastic methods;tree models;tree model reconstruction;

Data

Language: English
Year of publishing:
Typology: 2.18 - Scientific or Documentary Film, Sound or Video Recording
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: IGI Global
UDC: 004.89
COBISS: 19607062 Link will open in a new window
ISBN: 978-1-5225-0729-1
Views: 913
Downloads: 175
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary keywords: umetna inteligenca;diferencialna evolucija;optimizacijski algoritmi;
URN: URN:SI:UM:
Type (COBISS): Not categorized
DOI: 10.4018/978-1-5225-0729-1
ID: 11137951