1. A GPU fully vectorized approach to accelerate performance of NSGA-2 based on stochastic non-domination sorting and grid-crowding
2. Lucas N. Alegre, Florian Felten, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Ana L. C. Bazzan, and Bruno C. da Silva. 2022. MO-Gym: A Library of Multi-Objective Reinforcement Learning Environments. In Proceedings of the 34th Benelux Conference on Artificial Intelligence BNAIC/Benelearn 2022.
3. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
4. James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018. JAX: composable transformations of Python+NumPy programs. http://github.com/google/jax
5. A Competitive Swarm Optimizer for Large Scale Optimization