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A Computer Vision-Based Quality Assessment Technique for the automatic control of consumables for analytical laboratories
In this paper, a novel automatic monitoring system is proposed in the context of production process of plastic consumables used in analysis laboratories, with the aim to increase the effectiveness of the control process currently performed by a human operator.
Learning and evolution: factors influencing an effective combination
The mutual relationship between evolution and learning is a controversial argument among the artificial intelligence and neuro-evolution communities.
The Dynamic of Body and Brain Co-Evolution
We introduce a method that permits to co-evolve the body and the control properties of robots.
Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization
We analyze the efficacy of modern neuro-evolutionary strategies for continuous control optimization.
Robust Optimization through Neuroevolution
We propose a method for evolving solutions that are robust with respect to variations of the environmental conditions (i. e. that can operate effectively in new conditions immediately, without the need to adapt to variations).
Robustness, Evolvability and Phenotypic Complexity: Insights from Evolving Digital Circuits
We show how the characteristics of the evolutionary algorithm influence the evolvability of candidate solutions, i. e. the propensity of evolving individuals to generate better solutions as a result of genetic variation.
