适应基因型-表型定位的表型复杂性

Morten Hartmann, Tim Goedeweeck
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引用次数: 1

摘要

生物发展的奇迹促使研究人员在仿生系统中应用人工发展。正在研究的人工开发的可能特征之一是通过将人工开发作为间接映射应用于改进进化优化技术的可扩展性的潜力。目前,几乎没有关于发展何时可能实现这种改进的指导方针。我们研究了一个基于表型目标复杂性的指导方针,并提出了一个可以适应这种复杂性的语法映射。在一个新的背景下,关于间接映射的表现和表型复杂性之间的相关性的早期发现得到了证实。间接映射对表型复杂性的适应在一定条件下表现良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adapting a Genotype-phenotype Mapping to Phenotypic Complexity
The marvel of biological development has motivated researchers to apply artificial development in bio-inspired systems. Among the possible features of artificial development that are being investigated is the potential for improving scalability of evolutionary optimization techniques,by applying artificial development as an indirect mapping.Currently, few guidelines exist as to when development is likely to achieve such improvements. We investigate one guideline based on the complexity of the phenotypic objective and propose a grammatical mapping which can adapt to this complexity. Earlier findings on the correlation between the performance of indirect mappings and phenotypic complexity are confirmed in a new context. Adaptation of an indirect mapping to phenotypic complexity is shown to work well given certain conditions.
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