Forming Neural Networks Through Efficient And Adaptive Coevolution (1997)
This article demonstrates the advantages of a cooperative, coevolutionary search in difficult control problems. The SANE system coevolves a population of neurons that cooperate to form a functioning neural network. In this process, neurons assume different but overlapping roles, resulting in a robust encoding of control behavior. SANE is shown to be more efficient, more adaptive, and maintain higher levels of diversity than the more common network-based population approaches. Further empirical studies illustrate the emergent neuron specializations and the different roles the neurons assume in the population.
Evolutionary Computation, Vol. 5 (1997), pp. 373--399.

Risto Miikkulainen Faculty risto [at] cs utexas edu
David E. Moriarty Ph.D. Alumni moriarty [at] alumni utexas net