ShortCircuitGA contains genetic algorithms with a focus on the ability to combine multiple, expensive fitness functions with simpler, quicker fitness functions that can operate as a proxy in cases where fitness is poor. An analogy can be made to biological evolution where organisms with significant defects do not survive very long. The code was designed with a specific fitness function involving a neural network simulation of the hippocampus in mind (NeuroJet), but can be applied to any fitness function, even those that are not composite in nature.
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Genetic algorithms with focus on ability to combine multiple, expensive fitness functions with short circuiting capabilities. Keywords: Genetic algorithm, Optimization, Neural Network
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