Heterogeneous cooperative coevolution

Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsecchi, Stefano Cagnoni
2006 Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06  
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which involve cooperative coevolution of a genetic program and of a population of constants evolved by a genetic algorithm. The genetic program evolves expressions that solve a problem, while the genetic algorithm provides "good" values for the numeric terminal symbols used by those expressions. Experiments have been
more » ... have been performed on three symbolic regression problems and on a "real-world" biomedical application. Results are encouraging and confirm that our coevolutionary algorithms can be used effectively in different domains.
doi:10.1145/1143997.1144062 dblp:conf/gecco/VanneschiMVC06 fatcat:fwd7srfukbdmdozkx3mx6ex54u