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: |
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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 |