Below are the previous AABOH editions:
- AABOH 2024: “Some interesting search behaviors of evolutionary multi-objective optimization algorithms”, Hisao Ishibuchi
- AABOH 2023: “Self-analyzing EAs”, Kenneth De Jong
- AABOH 2022:
– “Don’t Implement, Think!” Benjamin Doerr
– “Hyperparameter Tuning of Deep Neural Networks”, Thomas Bartz-Beielstein - AABOH 2021:
– “Patterns of Population Dynamics in Differential Evolution: Merging Theoretical and Empirical Results”, Daniela Zaharie
– “Multiobjective Optimization and Decision Analysis: An Explainable AI Perspective”, Michael Emmerich
– “Applications of Bayesian Optimization in Natural Language Processing”, Lingpeng Kong