How Fitness Aggregation Methods Affect the Performance of Competitive CoEAs on Bilinear Problems
Mario Alejandro Hevia Fajardo, Per Kristian Lehre · Proceedings of the Genetic and Evolutionary Computation Conference · 2023
Competitive co-evolutionary algorithms (CoEAs) do not rely solely on an external function to assign fitness values to sampled solutions. Instead, they use the aggregation of outcomes from interactions between competing solutions allowing to rank solutions and make selection decisions. This makes CoEAs a useful tool for optimisation problems that have intrinsically interactive domains.