In the crowded environment of bio-inspired population-based metaheuristics, the Salp Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot of momentum.
Reversible Cellular Automata (RCA) are a particular kind of shift-invariant transformations characterized by a dynamics composed only of disjoint cycles.
This paper investigates the influence of genotype size on evolutionary algorithms' performance.
Tasks related to Natural Language Processing (NLP) have recently been the focus of a large research endeavor by the machine learning community.
Experiments show that improving the exploration of the search space with this adaptive bias strategy is beneficial for the GA performances in terms of the number of optimal solutions found for the balanced nonlinear Boolean functions problem.
In the second experiment, we train a GP convolutional predictor on two degraded images, removing around 20% of their pixels.