Pre-release
This release is a pre-release and may not be stable for production use.
dynMOOPs
A mathematical implementation of the classical Dynamic Multi-Objective Optimization Problems (dynMOOPs) for practical problems
that typically involves a set of conflicting objectives. In addition, the method allows penalty on premiumization (typically for costing) and
appreciations (typically for objectives involving maximization) methods for control.
Metadata
Release files for dynamic-moops 0.0.1.dev0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dynamic-moops-0.0.1.dev0.tar.gz | 2.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dynamic_moops-0.0.1.dev0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.6 kB
Release files / dynamic-moops-0.0.1.dev0.tar.gz
| Download URL | dynamic-moops-0.0.1.dev0.tar.gz |
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| Size | 2.4 kB |
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Release files / dynamic_moops-0.0.1.dev0-py3-none-any.whl
| Download URL | dynamic_moops-0.0.1.dev0-py3-none-any.whl |
|---|---|
| Size | 2.2 kB |
| Tags | Python 3 |
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