
doi: 10.1007/bfb0029761
We introduce an artificial neural network (ANN) representation that supports the evolution of complex behaviors in artificial organisms. The strength and location of each connection in the network is specified by a connection descriptor. The connection descriptors are mapped directly into a bit-string to which a genetic algorithm is applied. We empirically compare this representation to other ANN-based representations in the complex AntFarm task.
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