3 papers
cs.NE2025
A Perturbation and Speciation-Based Algorithm for Dynamic Optimization Uninformed of Change
Federico Signorelli, Anil Yaman
Dynamic optimization problems (DOPs) are challenging due to their changing conditions. This requires algorithms to be highly adaptable and efficient in terms of finding rapidly new…
cs.NE2024
The Effect of Training Schedules on Morphological Robustness and Generalization
Edoardo Barba, Anil Yaman, Giovanni Iacca
Robustness and generalizability are the key properties of artificial neural network (ANN)-based controllers for maintaining a reliable performance in case of changes. It is demonst…
cs.NE2024
Evolving generalist controllers to handle a wide range of morphological variations
Corinna Triebold, Anil Yaman
Neuro-evolutionary methods have proven effective in addressing a wide range of tasks. However, the study of the robustness and generalizability of evolved artificial neural network…