Phillip Verbancsics
ABSTRACT
Crossover is an important genetic operator that can combine beneficial genes together. Unfortunately, neuro-evolution (NE) has not experienced the benefits of crossover, despite significant efforts that enabled crossover for neural networks. Orthogonally, speciation has become an important feature in NE for diversity maintenance; however, speciation research has focused on what measure is driving speciation versus how the measure determines species. This research posits that an appropriate speciation heuristic can enable effective crossover in NE by determining potential mating partners. This paper investigates these concepts and presents empirical evidence that demonstrates; (1) the impact of the speciation heuristic, (2) crossover's negative effect, and (3) a speciation heuristic that enables effective crossover in NE.
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Index Terms
- Impact of Speciation Heuristic on Crossover and Search in NEAT
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