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Distributed evolutionary algorithms for class-based asset management and asset trading

机译:基于类的资产管理和资产交易的分布式进化算法

摘要

A server computer and a multitude of client computers form a network computing system that is scalable and adapted to continue to evaluate the performance characteristics of a number of genes generated using a software application. Each client computer continues to periodically receive data associated with the stored genes stored in its memory. Using this data, the client computers evaluate the performance characteristic of their genes by comparing a solution provided by the gene with the periodically received data associated with that gene. Accordingly, the performance characteristic of each gene may be updated and varied with each periodically received data. The performance characteristic of a gene defines its fitness. The genes may be virtual asset traders that recommend trading options. The genes may be assigned initially to different classes to improve convergence but may later be decided to merge with genes of other classes to improve diversity.
机译:服务器计算机和大量客户端计算机形成网络计算系统,该网络计算系统是可缩放的并且适于继续评估使用软件应用程序生成的多个基因的性能特征。每个客户端计算机继续定期接收与存储在其内存中的已存储基因相关的数据。客户端计算机使用此数据,通过将基因提供的解决方案与定期接收的与该基因相关的数据进行比较,来评估其基因的性能特征。因此,每个基因的性能特征可以随着每个定期接收的数据而更新和变化。基因的性能特征决定了它的适应性。基因可以是推荐交易选择权的虚拟资产交易员。最初可以将基因分配给不同类别,以提高收敛性,但后来可以决定与其他类别的基因融合,以提高多样性。

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