1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
|
Source: pyswarms
Section: python
Priority: optional
Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Christian Kastner <ckk@debian.org>
Build-Depends:
debhelper-compat (= 13),
dh-python,
python3-all,
python3-setuptools,
python3-attr,
python3-numpy,
python3-scipy,
python3-future,
python3-yaml,
python3-tqdm,
python3-matplotlib,
python3-pytest <!nocheck>,
python3-sphinx <!nodoc>,
python3-sphinx-rtd-theme <!nodoc>,
python3-nbsphinx <!nodoc>,
pandoc <!nodoc>,
python3-pandocfilters <!nodoc>,
# For intersphinx inventories (as seen in statsmodels)
python3-doc <!nodoc>,
python-scipy-doc <!nodoc>,
Rules-Requires-Root: no
Standards-Version: 4.6.2
Homepage: https://github.com/ljvmiranda921/pyswarms/
Vcs-Browser: https://salsa.debian.org/science-team/pyswarms
Vcs-Git: https://salsa.debian.org/science-team/pyswarms.git
Package: python3-pyswarms
Architecture: all
Depends:
${python3:Depends},
${misc:Depends},
python3-yaml
Recommends:
python3-matplotlib
Suggests: python-pyswarms-doc
Description: research toolkit for particle swarm optimization in Python
PySwarms is an extensible research toolkit for particle swarm optimization
(PSO) in Python.
.
It is intended for swarm intelligence researchers, practitioners, and students
who prefer a high-level declarative interface for implementing PSO in their
problems. PySwarms enables basic optimization with PSO and interaction with
swarm optimizations.
.
Features:
* High-level module for Particle Swarm Optimization
* Built-in objective functions to test optimization algorithms
* Plotting environment for cost histories and particle movement
* Hyperparameter search tools to optimize swarm behaviour
.
This package contains the Python 3.x version of PySwarms.
Package: python-pyswarms-doc
Architecture: all
Section: doc
Depends:
${sphinxdoc:Depends},
${misc:Depends},
libjs-requirejs,
libjs-mathjax,
fonts-mathjax,
Suggests:
python3-pyswarms,
ipython3,
python3-matplotlib,
python3-seaborn,
Multi-Arch: foreign
Description: documentation and examples for PySwarms
PySwarms is an extensible research toolkit for particle swarm optimization
(PSO) in Python.
.
It is intended for swarm intelligence researchers, practitioners, and students
who prefer a high-level declarative interface for implementing PSO in their
problems. PySwarms enables basic optimization with PSO and interaction with
swarm optimizations.
.
Features:
* High-level module for Particle Swarm Optimization
* Built-in objective functions to test optimization algorithms
* Plotting environment for cost histories and particle movement
* Hyperparameter search tools to optimize swarm behaviour
.
This package contains the documentation and examples for PySwarms.
|
