In this work we study how using multiple communicating populations instead of a single panmictic one may help in maintaining diversity during GP runs. After defining suitable geno...
Marco Tomassini, Leonardo Vanneschi, Francisco Fer...
This paper presents a study that evaluates the influence of the parallel genetic programming (GP) models in maintaining diversity in a population. The parallel models used are the...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
This paper describes the development of an evolutionary algorithm called Multipopulation Cooperative Coevolutionary Programming (MCCP) that extends Genetic Programming (GP) to sea...
In recent literature, the niche enabling effects of crowding and the sharing algorithms have been systematically investigated in the context of Genetic Algorithms and are now estab...