'Managed challenge' alleviates disengagement in co-evolutionary system identification
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Combating Coevolutionary Disengagement by Reducing Parasite Virulence
Evolutionary Computation
Introductory tutorial on coevolution
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
GP classification under imbalanced data sets: active sub-sampling and AUC approximation
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Classification as clustering: A pareto cooperative-competitive gp approach
Evolutionary Computation
Hi-index | 0.00 |
Inspired by the virulence of natural parasites, a novel approach is developed to tackle disengagement, a detrimental phenomenon coevolutionary systems sometimes experience. After demonstrating beneficial results in a simple model, minimum comparison sorting networks are coevolved, with results suggesting that moderating parasite virulence can help in practical problem domains.