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Evolution of adaptive behaviour in robots by means of Darwinian selection.

作者信息

Floreano Dario, Keller Laurent

机构信息

Laboratory of Intelligent Systems, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

出版信息

PLoS Biol. 2010 Jan 26;8(1):e1000292. doi: 10.1371/journal.pbio.1000292.

DOI:10.1371/journal.pbio.1000292
PMID:20126252
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2811146/
Abstract
摘要

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Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes.在崎岖的适应度景观上,自然选择无法为长期适应优化突变率。
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Embodied Evolution in Collective Robotics: A Review.群体机器人技术中的具身进化:综述
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BioGD: Bio-inspired robust gradient descent.生物启发稳健梯度下降法(BioGD):一种受生物启发的稳健梯度下降法。
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