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DEPP - Differential Evolution Parallel Program
Guilherme Bertoldo;
Jonas Joacir Radtke;
Carlos Henrique Marchi
DEPP - Differential Evolution Parallel Program
DEPP is an open-source optimization software based on Differential Evolution heuristic. It was designed to solve non-linear optimization problems of real-valued functions (objective functions) constrained to boxed domains. Additionally, this software is gradient-free, it is not code-invasive, i.e., objective function is treated as a "black-box", it is tolerant to failures, to poor precision calculated or noisy objective functions, it uses parallelization, that is particularly useful for handling computationally expensive objective functions, and it allows a Response Surface Methodology-Differential Evolution hybridization for convergence acceleration. Code is written using standard Fortran 2008 and applies the object-oriented paradigm, so that new differential evolution and/or hybridization strategies may be implemented more easily.
For details, please, see the documentation page: https://github.com/gbertoldo/DEPP/wiki
VERSION
Version 1.0.3
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DEPP-master.zip
md5:0c497519110dabb2e43dbda3cf91d599 |
1.5 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 80 | 80 |
| Downloads | 6 | 6 |
| Data volume | 8.8 MB | 8.8 MB |
| Unique views | 73 | 73 |
| Unique downloads | 6 | 6 |
- Publication date:
- March 20, 2020
- DOI:
-
- Keyword(s):
- Differential Evolution, Parallelization, Response surfaces
- License (for files):
- Creative Commons Attribution 4.0 International