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| Hauptseite > Publikationsdatenbank > Minion : a high-performance derivative-free optimization library designed for solving complex optimization problems. > print |
| Hauptseite > Publikationsdatenbank > Minion : a high-performance derivative-free optimization library designed for solving complex optimization problems. > print |
| 001 | 1053860 | ||
| 005 | 20260202125356.0 | ||
| 037 | _ | _ | |a FZJ-2026-01558 |
| 100 | 1 | _ | |a Muzakka, Khoirul Faiq |0 P:(DE-Juel1)194816 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Minion : a high-performance derivative-free optimization library designed for solving complex optimization problems. |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1770031778_2135 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Computer Program |0 6 |2 EndNote |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 336 | 7 | _ | |a Software |2 DataCite |
| 520 | _ | _ | |a Minion is a high-performance derivative-free optimization library designed for solving complex optimization problems where gradients are unavailable or unreliable. It implements state-of-the-art evolutionary algorithms, including top-performing methods from IEEE CEC competitions, which are often missing in standard optimization libraries such as SciPy, NLopt, OptimLib, pyGMO, and pagmo2.Minion is not only a solver but also a research platform for developing and testing new optimization algorithms. It includes benchmark functions from CEC competitions (2011, 2014, 2017, 2019, 2020, and 2022), providing a robust framework for algorithm evaluation and comparison.Features: State-of-the-art optimization algorithms: Implements JADE, L-SHADE, jSO, j2020, NL-SHADE-RSP, LSRTDE, and ARRDE (our novel Adaptive Restart-Refine DE algorithm). Parallelization-ready: Supports vectorized function evaluations, allowing seamless integration with multithreading and multiprocessing for high-performance optimization. Optimized C++ backend with a Python wrapper: Provides high efficiency with an easy-to-use Python API. CEC Benchmark Suite: Includes benchmark problems from 2011, 2014, 2017, 2019, 2020, and 2022 for rigorous testing and comparison |
| 536 | _ | _ | |a 1222 - Components and Cells (POF4-122) |0 G:(DE-HGF)POF4-1222 |c POF4-122 |f POF IV |x 0 |
| 700 | 1 | _ | |a Möller, Sören |0 P:(DE-Juel1)139534 |b 1 |u fzj |
| 700 | 1 | _ | |a Finsterbusch, Martin |0 P:(DE-Juel1)145623 |b 2 |u fzj |
| 856 | 4 | _ | |u https://zenodo.org/records/14893994 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1053860/files/Minion-0.1.9.zip |y Restricted |
| 909 | C | O | |o oai:juser.fz-juelich.de:1053860 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)194816 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)139534 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)145623 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Materialien und Technologien für die Energiewende (MTET) |1 G:(DE-HGF)POF4-120 |0 G:(DE-HGF)POF4-122 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Elektrochemische Energiespeicherung |9 G:(DE-HGF)POF4-1222 |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IMD-2-20101013 |k IMD-2 |l Werkstoffsynthese und Herstellungsverfahren |x 0 |
| 980 | _ | _ | |a sware |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IMD-2-20101013 |
| 980 | _ | _ | |a UNRESTRICTED |
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