Tackling Adversarial Faults in Panmictic Evolutionary Algorithms
Carlos Cotta · 2023
We analyze the performance of panmictic evolutionary algorithms in byzantine environments in which fitness can be computed by malicious agents. We measure the influence of the rate of unreliability of the environment, and the effect that a simple mechanism based on redundant computation can have on the results attained.