Multiobjective Optimization Test Environment

Versión 1.0 (517 KB) por Patrick Nadeau
Tests algorithms on multiobjective optimization problems and outputs data along with visuals and accuracy profiles
5.0
(1)
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Actualizado 17 jun 2020
Ver licencia en GitHub

The Multiobjective Optimization Test Environment allows the user to test algorithms on multiobjective optimization problems. This code was produced for my master's thesis named Multiobjective Nelder-Mead Algorithm Using a Mesh-Map of Weighted Sums. Features of the test environment include:

ALGORITHMS:
Random Search
Grid Search
MOPSO
NSGA-II
MNM-MeshMap

TEST SETS:
Wikipedia problems
DTLZ problems
Randomly generated problems (Quadratics and Sine Polynomials)
User-defined problems (Input your own problem)

METRICS:
Hypervolume
Contribution
Epsilon Indicator

VISUALS:
Algorithm results on individual problems
Accuracy profiles for larger data sets

OTHER:
Comma-Separated Values (CSV) file of data summary

Enjoy.

Citar como

Patrick Nadeau (2024). Multiobjective Optimization Test Environment (https://github.com/pat2017b/Multiobjective-Optimization-Test-Environment/releases/tag/v1.0), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Agradecimientos

Inspiración para: MOSMA: Multi-Objective Slime Mould Algorithm

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Versión Publicado Notas de la versión
1.0

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.