Skip to main content

Python version of the jMetal framework

Project description


jMetalPy

jMetalPy: Python version of the jMetal framework

Build Status Documentation PyPI License PyPI Python version

A paper introducing jMetalPy is available at: https://doi.org/10.1016/j.swevo.2019.100598

Table of Contents

Installation

You can install the latest version of jMetalPy with pip, including parallel and distributed computing dependencies such as pySpark and Dask:

pip install "jmetalpy[complete]"

You can also install the core functionality of the framework (which is often enough for most users):

pip install "jmetalpy[core]"

Or simply:

pip install jmetalpy

Usage

Examples of configuring and running all the included algorithms are located in the documentation.

Features

The current release of jMetalPy (v1.5.2) contains the following components:

  • Algorithms: local search, genetic algorithm, evolution strategy, simulated annealing, random search, NSGA-II, NSGA-III, SMPSO, OMOPSO, MOEA/D, MOEA/D-DRA, MOEA/D-IEpsilon, GDE3, SPEA2, HYPE, IBEA. Preference articulation-based algorithms (G-NSGA-II, G-GDE3, G-SPEA2, SMPSO/RP); Dynamic versions of NSGA-II, SMPSO, and GDE3.
  • Parallel computing based on Apache Spark and Dask.
  • Benchmark problems: ZDT1-6, DTLZ1-2, FDA, LZ09, LIR-CMOP, unconstrained (Kursawe, Fonseca, Schaffer, Viennet2), constrained (Srinivas, Tanaka).
  • Encodings: real, binary, permutations.
  • Operators: selection (binary tournament, ranking and crowding distance, random, nary random, best solution), crossover (single-point, SBX), mutation (bit-blip, polynomial, uniform, random).
  • Quality indicators: hypervolume, additive epsilon, GD, IGD.
  • Pareto front plotting for problems with two or more objectives (as scatter plot/parallel coordinates/chordplot) in real-time, static or interactive.
  • Experiment class for performing studies either alone or alongside jMetal.
  • Pairwise and multiple hypothesis testing for statistical analysis, including several frequentist and Bayesian testing methods, critical distance plots and posterior diagrams.


Scatter plot 2D
Scatter plot 3D
Parallel coordinates

Interactive chord plot

License

This project is licensed under the terms of the MIT - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jmetalpy-1.5.3.tar.gz (103.0 kB view hashes)

Uploaded Source

Built Distribution

jmetalpy-1.5.3-py3.7.egg (476.9 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page