A Free and Open Source Python Library for Multiobjective Optimization
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Updated
Jan 25, 2024 - Python
A Free and Open Source Python Library for Multiobjective Optimization
Python library for parallel multiobjective simulation optimization
MLMD: a programming-free AI platform to predict and design materials
Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.
Python Multi-Objective Simulation Optimization: a package for using, implementing, and testing simulation optimization algorithms.
Extended, multi-agent and multi-objective (MaMoRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.
My python implementations of some genetic algorithms
A "farm" of multiobjective benchmark problems exhibiting real-world structure and corresponding ParMOO solver scripts
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