The parameter-less genetic algorithm was first presented by the researchers as an alternative to the usual trial-and-error method of finding, for each given problem, an acceptable set-up of the parameter values of the genetic algorithm. Since then, the same strategy has been successfully applied to create parameter-less versions of other population-based search algorithms such as the extended compact genetic algorithm and the hierarchical Bayesian optimization algorithm. This paper describes a Java implementation, Parameter-less Evolutionary Algorithm (P-EAJava) that integrates several parameter-less evolutionary algorithms into a single platform.