| A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem | May 9, 2019 | Evolutionary AlgorithmsQ-Learning | —Unverified | 0 |
| Learning to Evolve | May 8, 2019 | Deep Reinforcement LearningEvolutionary Algorithms | CodeCode Available | 0 |
| A Survey on Neural Architecture Search | May 4, 2019 | Data AugmentationDeep Learning | —Unverified | 0 |
| Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms | Apr 22, 2019 | Evolutionary AlgorithmsReinforcement Learning | —Unverified | 0 |
| Intentional Computational Level Design | Apr 18, 2019 | DiversityEvolutionary Algorithms | CodeCode Available | 0 |
| Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates | Apr 17, 2019 | Evolutionary Algorithms | —Unverified | 0 |
| The Efficiency Threshold for the Offspring Population Size of the (μ, λ) EA | Apr 15, 2019 | Evolutionary Algorithms | —Unverified | 0 |
| The 1/5-th Rule with Rollbacks: On Self-Adjustment of the Population Size in the (1+(λ,λ)) GA | Apr 15, 2019 | Evolutionary Algorithms | —Unverified | 0 |
| A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation | Apr 12, 2019 | Evolutionary Algorithms | —Unverified | 0 |
| Multiplicative Up-Drift | Apr 11, 2019 | Evolutionary Algorithms | —Unverified | 0 |
