Invention Application
US20050187846A1 Systems and methods for multi-objective portfolio analysis using pareto sorting evolutionary algorithms
有权
使用帕累托分类进化算法进行多目标投资组合分析的系统和方法
- Patent Title: Systems and methods for multi-objective portfolio analysis using pareto sorting evolutionary algorithms
- Patent Title (中): 使用帕累托分类进化算法进行多目标投资组合分析的系统和方法
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Application No.: US10781805Application Date: 2004-02-20
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Publication No.: US20050187846A1Publication Date: 2005-08-25
- Inventor: Rajesh Subbu , Srinivas Bollapragada , Piero Bonissone , Kete Chalermkraivuth , Neil Eklund , Naresh Iyer
- Applicant: Rajesh Subbu , Srinivas Bollapragada , Piero Bonissone , Kete Chalermkraivuth , Neil Eklund , Naresh Iyer
- Main IPC: G06F17/60
- IPC: G06F17/60

Abstract:
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.
Public/Granted literature
- US08219477B2 Systems and methods for multi-objective portfolio analysis using pareto sorting evolutionary algorithms Public/Granted day:2012-07-10
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