feloopy 0.3.6

FelooPy: Efficient and feature-rich integrated decision environment

Efficient & Feature-Rich Integrated Decision Environment

Quick Intro

FelooPy (/fɛlupaɪ/) is a user-friendly tool for coding, modeling, and solving decision problems. It helps you focus on analysis and offers and supports a wide range of mathematical and statistical models and algorithms for decision-making.

Quick Features

• Linear & Non-Linear Programming: Exact algorithms for LP/NLP.
• Integer & Mixed-Integer Programming: Exact algorithms for IP/MIP.
• General Purpose Programming: Heuristic algorithms for various problems.
• Constraint Programming: Techniques for constraint satisfaction.
• Multi-Objective Decision-Making: Optimizing multiple objectives (MODM/MCDM).
• Multi-Attribute Decision-Making: Evaluating opinions on alternatives using multiple attributes (MADM/MCDM).

Quick Installation

You can install feloopy inside a Python>=3.10.x virtual environment:

pip install -U "feloopy[stock]==0.3.6"

For supporting the developer, testing the latest version, and reporting bugs or contributing to the codebase, use:

pip install "feloopy[stock] @ git+https://github.com/feloopy/feloopy.git"

Quick Testing

Here is an example to test FelooPy's functionality:

import feloopy as flp

def example(m):
    x = m.bvar(name="x")
    y = m.pvar(name="y", bound=[0, 1])
    m.con(x + y <= 1, name="c1")
    m.con(x - y >= 1, name="c2")
    m.obj(x + y)
    return m

flp.search(example,directions=["max"]).clean_report()

Quick Citation

To cite or give credit to FelooPy in publications, projects, presentations, web pages, blog posts, etc. please use one of the following entries, based on the used version:

APA 6th/7th Edition

Tafakkori, K. (2024). Efficient and feature-rich integrated decision environment [Python Library]. Retrieved from https://github.com/feloopy/feloopy (Original work published April 2024).

LaTeX/BiBTeX

@software{ktafakkori2024Apr,
author       = {Keivan Tafakkori},
title        = {{FelooPy: Efficient and feature-rich integrated decision environment}},
year         = {2024},
month        = apr,
publisher    = {GitHub},
url          = {https://github.com/feloopy/feloopy/}
}

Previous citations

Versions before 0.3.6

APA 6th/7th Edition

Tafakkori, K. (2022). FelooPy: An integrated optimization environment for AutoOR in Python [Python Library]. Retrieved from https://github.com/ktafakkori/feloopy (Original work published September 2022).

LaTeX/BiBTeX

@software{ktafakkori2022Sep,
author       = {Keivan Tafakkori},
title        = { {FelooPy: An integrated optimization environment for AutoOR in Python} },
year         = {2022},
month        = sep,
publisher    = {GitHub},
url          = {https://github.com/ktafakkori/feloopy/}
}