Skip to content
#

multi-objective

Here are 34 public repositories matching this topic...

A comprehensive Python implementation of MOEA/D (Multiobjective Evolutionary Algorithm based on Decomposition), a state-of-the-art algorithm for solving multiobjective optimization problems. This implementation is based on the seminal work by Zhang and Li (2007).

  • Updated Oct 21, 2025
  • Python

Extended, multi-agent, and multi-objective (MaMoRL / MoMaRL) gridworld environments building framework 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.

  • Updated Dec 1, 2025
  • Python

Systematic runaway-optimiser-like LLM failure modes on Biologically and Economically aligned AI safety benchmarks for LLM-s with simplified observation format. The benchmark themes include multi-objective homeostasis, (multi-objective) diminishing returns, complementary goods, sustainability, multi-agent resource sharing.

  • Updated Dec 1, 2025
  • Python

Improve this page

Add a description, image, and links to the multi-objective topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the multi-objective topic, visit your repo's landing page and select "manage topics."

Learn more