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Novelty-Driven Cooperative Coevolution
2017
Evolutionary Computation
Cooperative coevolutionary algorithms (CCEAs) rely on multiple coevolving populations for the evolution of solutions composed of coadapted components. CCEAs enable, for instance, the evolution of cooperative multiagent systems composed of heterogeneous agents, where each agent is modelled as a component of the solution. Previous works have, however, shown that CCEAs are biased toward stability: the evolutionary process tends to converge prematurely to stable states instead of (near-)optimal
doi:10.1162/evco_a_00173
pmid:26652102
fatcat:uq7shltukzdgvpe2nuu4vhvogi