Genotic algorithm optimization method and network
US6957200B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2001 |
| Grant date | Oct 18, 2005 |
| Priority date | — |
| Expiry date | Mar 6, 2023 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/126
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Sensors are selected from a sensor network for tracking of at least one target. The sensors are selected using a genetic algorithm construct having n chromosomes, wherein each chromosome represents one sensor, defining a fitness function based on desired attributes of the tracking, selecting one or more of the individuals for inclusion in an initial population, executing a genetic algorithm on the initial population until defined convergence criteria are met, wherein execution of the genetic algorithm has the steps of choosing the fittest individual from the population, choosing random individuals from the population and creating offspring from the fittest and randomly chosen individuals. In one embodiment, only i chromosomes are mutated during any one mutation, wherein i has a value of from 2 to n−1.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.