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On-line evolution of robot controllers by an encapsulated evolution strategy.

, , and . IEEE Congress on Evolutionary Computation, page 1-7. IEEE, (2010)

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Why parameter control mechanisms should be benchmarked against random variation., , and . IEEE Congress on Evolutionary Computation, page 349-355. IEEE, (2013)Comparing generic parameter controllers for EAs., , and . FOCI, page 46-53. IEEE, (2014)Evaluating Reward Definitions for Parameter Control., , and . EvoApplications, volume 9028 of Lecture Notes in Computer Science, page 667-680. Springer, (2015)A Generic Approach to Parameter Control., , and . EvoApplications, volume 7248 of Lecture Notes in Computer Science, page 366-375. Springer, (2012)Generic parameter control with reinforcement learning., , and . GECCO, page 1319-1326. ACM, (2014)On-line evolution of robot controllers by an encapsulated evolution strategy., , and . IEEE Congress on Evolutionary Computation, page 1-7. IEEE, (2010)Fate agent evolutionary algorithms with self-adaptive mutation., , and . GECCO (Companion), page 191-192. ACM, (2014)Self-Adaptive Mutation in On-line, On-board Evolutionary Robotics., , and . SASO Workshops, page 147-152. IEEE Computer Society, (2010)An algorithm for distributed on-line, on-board evolutionary robotics., , and . GECCO, page 171-178. ACM, (2011)Parameter Control in Evolutionary Algorithms: Trends and Challenges., , and . IEEE Trans. Evol. Comput., 19 (2): 167-187 (2015)