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Distributed embodied evolution for collective tasks: parametric analysis of a canonical algorithm.

, , и . GECCO (Companion), стр. 37-38. ACM, (2013)

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Moisés Prieto

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Gonzalo Rodríguez Prieto

Francisco Prieto Gil

 

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An Incremental Learning Algorithm for Optimizing High-Dimensional ANN-Based Classification Systems., , , и . ICONIP (1), том 5506 из Lecture Notes in Computer Science, стр. 1037-1044. Springer, (2008)Motivational Engine with Sub-goal Identification in Neuroevolution Based Cognitive Robotics., , , , и . HAIS, том 9648 из Lecture Notes in Computer Science, стр. 659-670. Springer, (2016)Real-Valued Multimodal Fitness Landscape Characterization for Evolution., , , , и . ICONIP (1), том 6443 из Lecture Notes in Computer Science, стр. 567-574. Springer, (2010)Evolutionary Procedure for the Progressive Design of Controllers for Collective Behaviors., , , , и . HAIS (2), том 6679 из Lecture Notes in Computer Science, стр. 471-478. Springer, (2011)Embodied Evolution in Collective Robotics: A Review., , и . CoRR, (2017)An Adaptive Approach for the Progressive Integration of Spatial and Spectral Features When Training Ground-Based Hyperspectral Imaging Classifiers., , , и . IEEE Trans. Instrum. Meas., 59 (8): 2083-2093 (2010)Towards the standardization of distributed Embodied Evolution., , , и . Inf. Sci., (2015)Population dynamics analysis in an agent-based artificial life system for engineering optimization problems., , , и . IEEE Congress on Evolutionary Computation, стр. 2724-2731. IEEE, (2009)Spatio-temporal cellular automata-based filtering for image sequence denoising., , , и . IJCNN, стр. 2362-2369. IEEE, (2017)Spatio-temporal cellular automata-based filtering for image sequence denoising: Application to fluoroscopic sequences., , , , , и . ICIP, стр. 548-552. IEEE, (2013)