when using several metaheuristic algorithms, such as particle swarm optimization (PSO),
genetic algorithm (GA), ant colony optimization (ACO), etc. However, these methods share
the same shortcoming which consists in encoding the problem solution as a sequence of cut-
points. From this cut-points vector, the decision of deleting or selecting any feature is
induced. Indeed, the number of generated cut-points varies from one feature to another …