EvoRBC paper published in top AI journal

Our paper on the EvoRBC approach: “Evolution of Repertoire-based Control for Robots with Complex Locomotor Systems” has now been published online in top-ranking AI journal IEEE Transactions on Evolutionary Computation. According to the most recent Thomson Reuters Journal Citation Reports (2016), IEEE Transactions on Evolutionary Computation has an impact factor of 10.629 is the #1 journal of a total of 133 in the category Computer Science, Artificial Intelligence.

Anders Lyhne Christensen