公开(公告)号：US20090112645A1

公开(公告)日：2009-04-30

申请号：US11924468

申请日：2007-10-25

申请人： Pratik D. Jha ,  Rajesh Venkat Subbu ,  John Michael Lizzi ,  Naresh Iyer ,  Liviu Nedelescu

发明人： Pratik D. Jha ,  Rajesh Venkat Subbu ,  John Michael Lizzi ,  Naresh Iyer ,  Liviu Nedelescu

IPC分类号： G06Q10/00

CPC分类号： G06Q10/04 ,  G06Q10/06 ,  G06Q10/0631 ,  G06Q10/10 ,  G06Q50/30

摘要： Systems and methods for planning and optimizing air traffic flow within an airspace are provided. In one embodiment, a system (200) includes: (1) a stakeholder objective evaluation module (212) receiving stakeholder preferences from stakeholders having an interest in flight routing within the airspace during an operational planning period and stakeholder metrics as feedback input and outputting strategic and flight route settings for the airspace based on the stakeholder preferences and stakeholder metrics; (2) a strategic optimization module (204) receiving the strategic settings, creating an initial airspace state, and generating an updated airspace state using the strategic settings; (3) a route optimization module (202) receiving the flight route settings and selecting preferred routes for flights during the operational planning period using the route settings; and (4) a simulation module (206) receiving simulation settings including the airspace state and the preferred routes, simulating flights during the operational planning period, and outputting the stakeholder metrics for feed-back.

摘要翻译： 提供了规划和优化空域内空中交通流量的系统和方法。 在一个实施例中，系统（200）包括：（1）利益相关者客观评价模块（212），在运营计划期间，利益相关者指标作为反馈输入并输出战略 并根据利益相关者的偏好和利益相关方的指标，为空域设置飞行路线; （2）接收战略设置的战略优化模块（204），创建初始空域状态，以及使用战略设置生成更新的空域状态; （3）路线优化模块（202），其使用所述路线设置接收所述飞行路线设置并且在所述运营规划期间选择所述航班的优选路线; 以及（4）模拟模块（206），其接收包括空域状态和优选路线的模拟设置，在操作规划期间模拟飞行，以及输出利益相关者度量以进行反馈。

公开(公告)号：US20080201183A1

公开(公告)日：2008-08-21

申请号：US11924435

申请日：2007-10-25

申请人： Pratik D. Jha ,  Alexander Suchkov ,  Rajesh Venkat Subbu ,  John Michael Lizzi ,  Naresh Iyer

发明人： Pratik D. Jha ,  Alexander Suchkov ,  Rajesh Venkat Subbu ,  John Michael Lizzi ,  Naresh Iyer

IPC分类号： G06F17/00

CPC分类号： G08G5/0043 ,  G06Q10/063 ,  G06Q10/06316

摘要： Systems and methods for optimizing a plurality of competing portfolios of logistical alternatives are disclosed. In one embodiment, where the competing portfolios of logistical alternatives are competing portfolios of flight paths, a method (1100) for optimizing a plurality of competing portfolios of logistical alternatives includes receiving (1102) competing flight path portfolios from one or more flight operation centers. Dominance criteria are applied (1104) to select a subset of the portfolios from the plurality of competing portfolios for further consideration. Multi-objective genetic optimization is applied (1106) to the subset of portfolios to identify an optimal portfolio among the plurality of competing portfolios of logistical alternatives. Where the method (1100) is undertaken by executing computer program code on at least one computer processor, information identifying the logistical alternatives included in the optimal portfolio may be output (1108) on an output device in communication with the computer processor.

摘要翻译： 公开了用于优化多个竞争的后勤备选组合的系统和方法。 在一个实施例中，在物流替代品的竞争组合是竞争的飞行路径组合的情况下，用于优化多个竞争的后勤备选组合的方法（1100）包括从一个或多个飞行运行中心接收（1102）竞争的飞行路径组合。 应用优势标准（1104）从多个竞争投资组合中选择投资组合的一部分进行进一步考虑。 多目标遗传优化（1106）应用于投资组合的子集，以确定多个相互竞争的后勤备选组合中的最佳投资组合。 在通过在至少一个计算机处理器上执行计算机程序代码来执行方法（1100）的情况下，可以在与计算机处理器通信的输出设备上输出识别最佳投资组合中包括的物流备选方案的信息（1108）。

公开(公告)号：US20050187846A1

公开(公告)日：2005-08-25

申请号：US10781805

申请日：2004-02-20

申请人： Rajesh Subbu ,  Srinivas Bollapragada ,  Piero Bonissone ,  Kete Chalermkraivuth ,  Neil Eklund ,  Naresh Iyer

发明人： Rajesh Subbu ,  Srinivas Bollapragada ,  Piero Bonissone ,  Kete Chalermkraivuth ,  Neil Eklund ,  Naresh Iyer

IPC分类号： G06F17/60

CPC分类号： G06Q40/06

摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: generating an initial population of solutions of portfolio allocations; committing the initial population of solutions to an initial population archive; performing a multi-objective process, based on the initial population archive and on multiple competing objectives, to generate an efficient frontier, the multi-objective process including a evolutionary algorithm process, the evolutionary algorithm process utilizing a dominance filter, the efficient frontier being used in investment decisioning.

摘要翻译： 本发明的系统和方法针对组合优化和相关技术。 例如，本发明提供了一种用于基于竞争目标和构成组合问题的多个约束的投资决策中的多目标投资组合优化的方法，所述方法包括：生成投资组合分配的最初解决方案群体; 将最初的人口解决方案提交给初始人口档案; 基于初始人口档案和多个竞争目标，进行多目标过程，以产生有效的前沿，多目标过程包括进化算法过程，利用优势过滤器的进化算法过程，使用的有效边界 投资决策。

公开(公告)号：US20060224482A1

公开(公告)日：2006-10-05

申请号：US11095242

申请日：2005-03-31

申请人： James Aragones ,  Naresh Iyer ,  Amy Aragones

发明人： James Aragones ,  Naresh Iyer ,  Amy Aragones

IPC分类号： G06Q40/00

CPC分类号： G06Q40/00

摘要： A method of managing an asset inventory is provided. The method includes obtaining data related to assets of the asset inventory and analyzing the obtained data to estimate a total number of assets required by the asset inventory over a time period. The method also includes determining a first cost of owning an asset and a second cost of leasing an asset and allocating the asset inventory between a first number of owned assets and a second number of leased assets to achieve an estimated least-cost value of maintaining the total number of assets over the time period.

摘要翻译： 提供了一种管理资产清单的方法。 该方法包括获取与资产清单资产相关的资料，并分析所获得的数据，以估计资产库存在一段时间内所需的资产总数。 该方法还包括确定拥有资产的第一成本和租赁资产的第二成本，并在第一数量的所有权资产与第二数量的租赁资产之间分配资产盘点，以实现估计的最低成本价值，以维持 总时间内的资产总额。

公开(公告)号：US20060247798A1

公开(公告)日：2006-11-02

申请号：US11117596

申请日：2005-04-28

申请人： Rajesh Subbu ,  Piero Bonissone ,  Neil Eklund ,  Naresh Iyer ,  Rasiklal Shah ,  Weizhong Yan ,  Chad Knodle ,  James Schmid

发明人： Rajesh Subbu ,  Piero Bonissone ,  Neil Eklund ,  Naresh Iyer ,  Rasiklal Shah ,  Weizhong Yan ,  Chad Knodle ,  James Schmid

IPC分类号： G05B13/02

CPC分类号： G06N3/126

摘要： A method and system for performing multi-objective predictive modeling, monitoring, and update for an asset is provided. The method includes determining a status of each of at least two predictive models for an asset as a result of monitoring predicted performance values. The status of each predictive model includes at least one of: acceptable performance values, validating model, and unacceptable performance values. Based upon the status of each predictive model, the method includes performing at least one of: terminating use of the at least two predictive models for the asset, generating an alert for the asset of the status of the at least two predictive models, and updating the at least two predictive models based upon the status of the at least two predictive models.

摘要翻译： 提供了一种用于执行资产的多目标预测建模，监控和更新的方法和系统。 该方法包括作为监视预测的性能值来确定资产的至少两个预测模型中的每一个的状态。 每个预测模型的状态包括以下中的至少一个：可接受的性能值，验证模型和不可接受的性能值。 基于每个预测模型的状态，所述方法包括执行以下中的至少一个：终止使用所述资产的所述至少两个预测模型，为所述资产生成所述至少两个预测模型的状态的警报，以及更新 基于所述至少两个预测模型的状态的所述至少两个预测模型。

公开(公告)号：US20050187847A1

公开(公告)日：2005-08-25

申请号：US10781871

申请日：2004-02-20

申请人： Piero Bonissone ,  Srinivas Bollapragada ,  Kete Chalermkraivuth ,  Neil Eklund ,  Naresh Iyer ,  Rajesh Subbu

发明人： Piero Bonissone ,  Srinivas Bollapragada ,  Kete Chalermkraivuth ,  Neil Eklund ,  Naresh Iyer ,  Rajesh Subbu

IPC分类号： G06Q40/00 ,  G06F17/60

CPC分类号： G06Q40/06

摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method sequentially comprising: generating a non-dominated solution set in a space; applying a first set of user-specified constraints to reduce the solutions in the non-dominated solution set to a solution subset; and executing a series of local tradeoffs on the solution subset to result in a resulting solution subset, the local tradeoffs being performed in a lower dimension performance space as compared to the space, and the solution subset being used in investment decisioning.

摘要翻译： 本发明的系统和方法针对组合优化和相关技术。 例如，本发明提供了一种用于基于竞争目标和构成投资组合问题的多个约束的投资决策中的多目标投资组合优化的方法，所述方法顺序地包括：在空间中生成非主导解集; 应用第一组用户指定的约束以将非主导解集合中的解减少到解子集; 并且在解决方案子集上执行一系列局部权衡以产生最终的解决方案子集，与空间相比较，在较低维度的性能空间中执行本地权衡，以及在投资决策中使用的解决方案子集。

公开(公告)号：US20080091630A1

公开(公告)日：2008-04-17

申请号：US11755924

申请日：2007-05-31

申请人： Piero Bonissone ,  Weizhong Yan ,  Naresh Iyer ,  Kai Goebel ,  Anil Varma

发明人： Piero Bonissone ,  Weizhong Yan ,  Naresh Iyer ,  Kai Goebel ,  Anil Varma

IPC分类号： G06N5/00

CPC分类号： G05B23/024 ,  G06K9/6284 ,  G06N99/005

摘要： Monitoring dynamic units that operate in complex, dynamic environments, is provided in order to classify and track unit behavior over time. When domain knowledge is available, feature-based models may be used to capture the essential state information of the units. When domain knowledge is not available, raw data is relied upon to perform this task. By analyzing logs of event messages (without having access to their data dictionary), embodiments allow the identification of anomalies (novelties). Specifically, a Normalized Compression Distance (such as one based on Kolmogorov Complexity) may be applied to logs of event messages. By analyzing the similarity and differences of the event message logs, units are identified that did not experience any abnormality (and locate regions of normal operations) and units that departed from such regions. Of particular interest is the detection and identification of units' epidemics, which is defined as sustained/increasing numbers of anomalies over time.

摘要翻译： 提供了监控在复杂，动态环境中运行的动态单元，以便对时间段内的单元行为进行分类和跟踪。 当领域知识可用时，可以使用基于特征的模型来捕获单位的基本状态信息。 当领域知识不可用时，依靠原始数据来执行此任务。 通过分析事件消息的日志（不访问其数据字典），实施例允许识别异常（新奇事物）。 具体来说，归一化压缩距离（例如基于Kolmogorov复杂度的距离）可以应用于事件消息的日志。 通过分析事件消息日志的相似性和差异，识别出没有经历任何异常（并定位正常操作的区域）的单位和离开这些区域的单位。 特别感兴趣的是检测和识别单位的流行病，其定义为持续/越来越多的异常随时间变化。

公开(公告)号：US20070094162A1

公开(公告)日：2007-04-26

申请号：US11210120

申请日：2005-08-23

申请人： James Aragones ,  Naresh Iyer ,  Catherine Lazatin

发明人： James Aragones ,  Naresh Iyer ,  Catherine Lazatin

IPC分类号： G06N3/12

CPC分类号： G06N3/126

摘要： The performance of optimization algorithms operating with compute-intensive fitness functions is enhanced by constraining time-intensive fitness evaluations for candidate solutions that show low likelihood of being fit at early stages of the fitness evaluation. By prematurely discarding alternatives that could be potentially optimal upon complete fitness evaluation but with low likelihood, the running time of the overall optimization process is advantageously reduced substantially, thereby trading off time complexity for search fidelity.

摘要翻译： 运用计算密集型健身功能的优化算法的性能通过约束对健身评估的早期阶段适合的可能性较低的候选解决方案的时间密集型健身评估来加强。 通过过早地丢弃可能在完全健身评估中可能是最佳的但具有低可能性的替代方案，有利地大大降低了整体优化过程的运行时间，从而消除了搜索保真度的时间复杂性。

公开(公告)号：US20050187848A1

公开(公告)日：2005-08-25

申请号：US10781897

申请日：2004-02-20

申请人： Piero Bonissone ,  Srinivas Bollapragada ,  Kete Chalermkraivuth ,  Neil Eklund ,  Naresh Iyer ,  Rajesh Subbu

发明人： Piero Bonissone ,  Srinivas Bollapragada ,  Kete Chalermkraivuth ,  Neil Eklund ,  Naresh Iyer ,  Rajesh Subbu

IPC分类号： G06Q40/00 ,  G06F17/60

CPC分类号： G06Q40/06

摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem, the method comprising: performing a first multi-objective optimization process, based on competing objectives, to generate an efficient frontier of possible solutions; observing the generated efficient frontier; based on the observing, identifying an area of the efficient frontier in which there is a gap; and effecting a gap filling process by which the efficient frontier is supplemented in the area of the gap, the efficient frontier being used in investment decisioning.

摘要翻译： 本发明的系统和方法针对组合优化和相关技术。 例如，本发明提供了一种用于基于竞争目标和构成投资组合问题的多个约束的投资决策中的多目标投资组合优化的方法，所述方法包括：基于竞争目标执行第一多目标优化过程 ，以产生可能的解决方案的有效前沿; 观察生成的有效边界; 根据观察，确定存在差距的有效边界的一个区域; 并在差距填补过程中，有效的前沿在差距领域得到补充，有效的前沿被用于投资决策。

公开(公告)号：US20050187845A1

公开(公告)日：2005-08-25

申请号：US10781804

申请日：2004-02-20

申请人： Neil Holger Eklund ,  Srinivas Bollapragada ,  Piero Bonissone ,  Kete Chalermkraivuth ,  Naresh Iyer ,  Rajesh Subbu

发明人： Neil Holger Eklund ,  Srinivas Bollapragada ,  Piero Bonissone ,  Kete Chalermkraivuth ,  Naresh Iyer ,  Rajesh Subbu

IPC分类号： G06Q40/00 ,  G06F17/60

CPC分类号： G06Q40/06

摘要： The systems and methods of the invention are directed to portfolio optimization and related techniques. For example, the invention provides a method for multi-objective portfolio optimization for use in investment decisions based on competing objectives and a plurality of constraints constituting a portfolio problem in a space, the method comprising: generating a set of solutions of portfolio allocations in the space, the space having a plurality of dimensions; selecting a first dimension from the plurality of dimensions, the first dimension being a dimension under consideration; dividing the space into bins based on each dimension in the plurality of dimensions other than the dimension under consideration; determining a respective point in each bin with the most extreme value in the dimension under consideration; determining, based on the point in each bin with the most extreme value, whether other points in the space are dominant or dominated; and removing the dominated points from further consideration, so as to result in a reduced set of solutions, the reduced set of solutions being used in investment decisioning.

摘要翻译： 本发明的系统和方法针对组合优化和相关技术。 例如，本发明提供了一种用于多目标投资组合优化的方法，用于基于竞争目标的投资决策和构成空间中的投资组合问题的多个约束，所述方法包括：生成一组投资组合分配解决方案 所述空间具有多个尺寸; 从所述多个维度中选择第一维度，所述第一维度是所考虑的维度; 基于所考虑的维度以外的多个维度中的每个尺寸将空间分成箱体; 在所考虑的维度中确定每个仓库中具有最高极值的相应点; 根据每个仓库中具有最高极值的点确定空间中的其他点是否占主导地位或主导地位; 从进一步的考虑中消除支配地位，从而减少一套解决方案，减少投资决策中使用的一套解决方案。