Cooperative coevolutionary algorithms (CCEAs) rely on multiple coevolving populations for
the evolution of solutions composed of coadapted components. CCEAs enable, for instance …

We propose Hyb-CCEA, a cooperative coevolutionary algorithm for the evolution of
genetically heterogeneous multiagent teams. The proposed approach extends the …

Cooperative coevolution is an approach for evolving solutions composed of coadapted
components. Previous research has shown, however, that cooperative coevolutionary …

Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts
doubt on their suitability for static optimization tasks, our experience is that the algorithms …

Abstract In recent years, Cooperative Coevolutionary Evolutionary Algorithms (CCEAs) have
been developed as extensions to traditional Evolutionary Algorithms (EAs). CCEAs attempt …

Cooperative coevolutionary algorithms (CEAs) offer great potential for concurrent multiagent
learning domains and are of special utility to domains involving teams of multiple agents …

Heterogeneous multirobot systems have shown significant potential in many applications.
Cooperative coevolutionary algorithms (CCEAs) represent a promising approach to …

Evolving multiple robots so that each robot acting independently can contribute to the
maximization of a system level objective presents significant scientific challenges. For …

The potential of cooperative coevolutionary algorithms (CCEAs) as a tool for evolving control
for heterogeneous multirobot teams has been shown in several previous works. The vast …

Cooperative coevolution algorithms (CCEAs) facilitate the evolution of heterogeneous,
cooperating multiagent systems. Such algorithms are, however, subject to inherent …