Controlling Complex Dynamics with Artificial Biochemical Networks
Controlling Complex Dynamics with Artificial Biochemical Networks
复制标题
用人工生化网络控制复杂的动力学
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
L. Caves
中科院分区：
文献类型：
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作者：
M. Lones;A. Tyrrell;S. Stepney;L. Caves
人工生物化学网络（ABN）是受生物有机体细胞活动的生化网络启发而建立的计算模型。本文展示了如何演变ABN可以用来控制离散和连续动力系统中的混沌动力学，说明ABN可以用来表示进化算法内的复杂计算行为。我们的研究结果还表明，性能是敏感的模型的选择，并建议守恒定律在指导搜索中发挥重要作用。
Artificial biochemical networks (ABNs) are computational models inspired by the biochemical networks which underlie the cellular activities of biological organisms. This paper shows how evolved ABNs may be used to control chaotic dynamics in both discrete and continuous dynamical systems, illustrating that ABNs can be used to represent complex computational behaviours within evolutionary algorithms. Our results also show that performance is sensitive to model choice, and suggest that conservation laws play an important role in guiding search.