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English(EN) The Cost of Becoming: Developmental Encoding Increases Phenotypic Diversity but Reduces Locality and Recombination Robustness in Evolved Robots

机器人中的发育编码提高了多样性,但损害了鲁棒性

一篇新研究论文探讨了进化机器人中发育编码的权衡。研究发现,虽然这些编码可以增加表型多样性,但它们也降低了局域性和重组的鲁棒性。具体来说,在最终适应度方面,时间合子发育编码并不比直接编码持续表现更好,但确实扩展了表型变异。然而,这以较低的突变活力、降低的局域性以及交叉后代的适应度和活力下降为代价。 AI

影响 这项研究强调了进化算法中的一个基本权衡,表明通过发育编码增加表型多样性可能会以牺牲保留适应性结构为代价。

排序理由 该集群包含一篇详细介绍研究结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

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机器人中的发育编码提高了多样性,但损害了鲁棒性

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该集群包含一篇详细介绍研究结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Lyes Saad Saoud ·

    成为的代价:发育编码增加了表型多样性,但降低了进化机器人中的局部性和重组鲁棒性

    Developmental encodings are often motivated by the expectation that a structured genotype-to-phenotype process can improve evolvability, robustness, and adaptation. Yet an encoding that expands phenotypic variation may simultaneously make useful parental structure harder to prese…