Abstract
A progressive evolution model is proposed in which evolution takes place stepwise to match environmental changes. This model was designed to accelerate evolution. Environmental complexity is defined, and the problem environment progresses in environmental complexity gradually from easy to difficult. A verification system for the model is constructed on a hardware evolution system called AdAM (adaptive architecture methodology) in which each individual circuit takes parallel input sequences and operates on this input. A measure that is suitable for such parallel simultaneous operations schemes is designed to express environmental complexity. Simulations using an artificial ant problem (a modified John Muir trail) show that in the progressive evolution model, circuits can easily evolve complex behaviors.
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