PyMOSO: Software for Multiobjective Simulation Optimization with R-PERLE and R-MinRLE

DOI10.1287/ijoc.2019.0902OpenAlexW3016903731MaRDI QIDQ5148194

Kyle Cooper, Susan R. Hunter

Publication date: 1 February 2021

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.2019.0902

zbMATH Keywords

softwaremultiobjectivesimulation optimization

Mathematics Subject Classification ID

Mathematical programming (90Cxx)

Related Items (2)

Biobjective Simulation Optimization on Integer Lattices Using the Epsilon-Constraint Method in a Retrospective Approximation Framework ⋮ PyMOSO

Uses Software

• PaGMO/PyGMO
• OptQuest
• RngSteam
• MRG32k3a
• GitHub
• R-SPLINE
• PyPRS
• RngStreams

Cites Work

• Handbook of simulation optimization
• Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem
• Good Parameters and Implementations for Combined Multiple Recursive Random Number Generators
• Integer-Ordered Simulation Optimization using R-SPLINE
• Biobjective Simulation Optimization on Integer Lattices Using the Epsilon-Constraint Method in a Retrospective Approximation Framework

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