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

Planning1.00
Machine learning1.00
Evolutionary computation1.00
Knowledge representation1.00
AI hardware0.82
Vision0.00
Natural language0.00
Speech0.00

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.

From the same owner

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