This work introduces a suite of synthetic multi-objective test problems with analytically controlled Pareto fronts and deliberately uninformative objective values, designed to decouple algorithmic behaviour from problem structure, allowing bias induced purely by algorithmic operators and design choices to be observed.
Jakub Kůdela, Niki van Stein, T. Bäck et al.· Annual Conference on Genetic...· 0 citations
The benefits of integrating prior bias when considering locomotion tasks with simple hinge actuators are demonstrated and a Parameter Impact metric is introduced which showcases diminishing returns for MLPs but not for CPGs.
Kevin Godin-Dubois, Anil Yaman, Anna V. Kononova· arXiv.org· 0 citations
EvoHIIT, an LLM-assisted evolutionary framework for the design of High-Intensity Interval Training (HIIT) programs, is introduced, and preference-based selection mechanisms are studied to provide empirical insight into human-aligned evolution of natural language solutions.
Johana Chen, Niki van Stein, Robert Cabri et al.· Proceedings of the Genetic a...· 0 citations