DOAJ Open Access 2025

Version [2.0] — [pyMCMA: Uniformly distributed Pareto-front representation]

Marek Makowski Janusz Granat Andrii Shekhovtsov Zbigniew Nahorski Jinyang Zhao

Abstrak

pyMCMA is the Python implementation of a novel method for autonomous computation of the Pareto-front representation composed of efficient solutions distributed uniformly in terms of the distances between neighbor Pareto solutions. pyMCMA supports scientific, i.e., objective, model analysis by providing preference-free Pareto front representation.The update provides new functionalities and enhancements. The former include clustering of the Pareto-front solutions. The enhancements include internal software improvements, optional customization of some parameters, as well as a new functionalities that might be used by advanced users.

Topik & Kata Kunci

Computer software

Penulis (5)

Marek Makowski

Janusz Granat

Andrii Shekhovtsov

Zbigniew Nahorski

Jinyang Zhao

Format Sitasi

APA MLA BibTeX

Makowski, M., Granat, J., Shekhovtsov, A., Nahorski, Z., Zhao, J. (2025). Version [2.0] — [pyMCMA: Uniformly distributed Pareto-front representation]. https://doi.org/10.1016/j.softx.2025.102097

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Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.1016/j.softx.2025.102097
Akses: Open Access ✓