Aleš Zamuda (Avtor)

Povzetek

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.

Ključne besede

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

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 2.18 - Raziskovalni ali dokumentarni film, zvočni ali video posnetek
Organizacija: UM FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Založnik: IGI Global
UDK: 004.89
COBISS: 19607062 Povezava se bo odprla v novem oknu
ISBN: 978-1-5225-0729-1
Št. ogledov: 913
Št. prenosov: 175
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarne ključne besede: umetna inteligenca;diferencialna evolucija;optimizacijski algoritmi;
URN: URN:SI:UM:
Vrsta dela (COBISS): Delo ni kategorizirano
DOI: 10.4018/978-1-5225-0729-1
ID: 11137951