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公开(公告)号：EP2422278A4
公开(公告)日：2012-11-07
申请号：EP10770287
申请日：2010-04-28
发明人： HODJAT BABAK , SHAHRZAD HORMOZ
CPC分类号： G06N3/086 , G06N3/12 , G06N3/126 , G06N99/005 , G06Q30/02
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 running on the client computers. Each client computer continues to periodically receive data associated with the 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, and the data associated with the genes may be historical trading data.
摘要翻译： 服务器计算机和多个客户端计算机形成网络计算系统，其可扩展并且适于继续评估使用在客户端计算机上运行的软件应用程序生成的许多基因的性能特征。 每个客户端计算机继续周期性地接收与存储在其存储器中的基因相关联的数据。 使用这些数据，客户端计算机通过将基因提供的解决方案与与该基因相关联的周期性接收的数据进行比较来评估其基因的性能特征。 因此，可以利用每个周期性接收的数据来更新和变化每个基因的性能特征。 基因的表现特征定义其适应性。 这些基因可能是推荐交易期权的虚拟资产交易者，与基因相关的数据可能是历史交易数据。
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2.发明公开DISTRIBUTED NETWORK FOR PERFORMING COMPLEX ALGORITHMS 审中-公开VERTEILTES NETZWERK ZUR DURCHFHHUNG KOMPLEXER ALGORITHMEN
公开(公告)号：EP2208136A4
公开(公告)日：2012-12-26
申请号：EP08847214
申请日：2008-11-07
发明人： BLONDEAU ANTOINE , CHEYER ADAM , HODJAT BABAK , HARRIGAN PETER
CPC分类号： G06F9/5066 , G06F2209/5017 , G06N3/126 , G06Q10/0633 , Y02D10/22 , Y02D10/36
摘要： The cost of performing sophisticated software-based financial trend and pattern analysis is significantly reduced by distributing the processing power required to carry out the analysis and computational task across a large number of networked individual or cluster of computing nodes. To achieve this, the computational task is divided into a number of sub tasks. Each sub task is then executed on one of a number of processing devices to generate a multitude of solutions. The solutions are subsequently combined to generate a result for the computational task. The individuals controlling the processing devices are compensated for use of their associated processing devices. The algorithms are optionally enabled to evolve over time. Thereafter, one or more of the evolved algorithms is selected in accordance with a predefined condition.
摘要翻译： 通过分布大量联网的个人或计算节点集群来分析执行分析和计算任务所需的处理能力，大大降低了执行复杂的基于软件的财务趋势和模式分析的成本。 为了实现这一点，计算任务分为多个子任务。 然后，每个子任务在多个处理设备之一上执行，以产生大量的解决方案。 随后组合解决方案以产生计算任务的结果。 控制处理装置的个人被补偿以使用它们相关联的处理装置。 随着时间的推移，这些算法可以选择启用。 此后，根据预定条件选择一个或多个演进算法。
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3.发明公开CLASS-BASED DISTRIBUTED EVOLUTIONARY ALGORITHM FOR ASSET MANAGEMENT AND TRADING 审中-公开基于类的分布式进化算法进行投资管理和交易
公开(公告)号：EP2422276A4
公开(公告)日：2012-11-14
申请号：EP10770288
申请日：2010-04-28
发明人： HODJAT BABAK , SHAHRZAD HORMOZ
IPC分类号： G06F15/173 , G06N3/12 , G06Q40/06
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.
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