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: |
2016 |
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
|
ISBN: |
978-1-5225-0729-1 |
Views: |
913 |
Downloads: |
175 |
Average score: |
0 (0 votes) |
Metadata: |
|
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 |