Method, system, and computer program product for controlling genetic learning for predictive models using predefined strategies
US12373705B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 20, 2019 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Dec 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods for controlling genetic learning for predictive models using predefined strategies may include, for each of a plurality of agents, selecting a type of predictive model. A strategy may be selected from predefined strategies. Candidate genomes may be generated and may include a plurality of genes. Each gene may be associated with a feature of the agent predictive model. A fit of each candidate genome to the agent strategy may be determined. A candidate genome may be selected based on the fit. For each of a plurality of epochs, a plurality of training iterations may be performed for each agent. A fitness of each agent predictive model may be determined. A subset of agents with a highest fitness may be determined. For each agent of the subset, at least one new agent may be generated. The genomes of the new agents may be merged with some genomes of the subset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.