SYSTEMS AND METHODS FOR MULTI-OBJECTIVE PORTFOLIO ANALYSIS USING PARETO SORTING EVOLUTIONARY ALGORITHMS
Patent №
US 8,219,477
Granted
2012-07-10
Filed 2004
Owner
GENERAL ELECTRIC COMPANY
Lab
—
AI components
5
ml · kr · planning · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
10781805
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.
AI classification
Ownership
GENERAL ELECTRIC COMPANY
assignment · 156790161
Assignors
SUBBU, RAJESH VENKAT, BOLLAPRAGADA, SRINIVAS, BONISSONE, PIERO PATRONE, CHALERMKRAIVUTH, KETE CHARLES, EKLUND, NEIL HOLGER WHITE, IYER, NARESH SUNDARAM
On an employer assignment, the assignors are typically the inventors.