jMetalPy: Python version of the jMetal framework

Warning

Documentation is WIP!! Some information may be missing.

Contents:

• Getting started
• Contributing
• About
• User documentation

Installation steps

Via pip:

$ pip install jmetalpy

Via Github:

$ git clone https://github.com/jMetal/jMetalPy.git
$ pip install -r requirements.txt
$ python setup.py install

Features

The current release of jMetalPy (v0.5.1) contains the following components:

• Algorithms: random search, NSGA-II, SMPSO, SMPSO/RP
• Benchmark problems: ZDT1-6, DTLZ1-2, unconstrained (Kursawe, Fonseca, Schaffer, Viennet2), constrained (Srinivas, Tanaka).
• Encodings: real, binary
• 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
• Density estimator: crowding distance
• Graphics: Pareto front plotting (2 or more objectives)
• Laboratory: Experiment class for performing studies.