Omer Abramovich

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In the last decade evolutionary multi-objective optimizers have been employed in studies concerning evolutionary robotics. In particular, the majority of such studies involve the evolution of neuro-controllers using either a genetic algorithm approach or an evolution strategies approach. Given the fundamental difference between these types of search(More)
Evolutionary multi-objective optimization has been employed in studies concerning evolutionary robotics, and in particular for the evolution of neuro-controllers. To allow the simultaneous multi-objective evolution of topology and weights, tailored search algorithms should be developed. Here, a modification to the well-known NEAT algorithm is suggested. The(More)
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