Abstract
This contribution attempts to study on forecasting crop pests with multipopulation genetic programming (MGP). In our previous work, standard genetic programming (SGP) evolves a single population, which often results in premature convergence. This paper concentrates on multipopulation evolution in order to maintain population diversity to avoid this. Comparison between single and multi population shows superiority of the latter. Study of migration interval and migration rate draws the conclusion that it is helpful to obtain optimal solutions that subpopulations keep communicating often and only a few of individuals migrate when communicating. All experiments are based on forecasting wheat stripe rust disease. MGP shows good prediction, which is hopeful to become an auxiliary method for forecasting crop pests.
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Claims 3
Claim · model-written summary
Multipopulation genetic programming outperformed single-population genetic programming for forecasting wheat stripe rust.
- Taxon
- wheat
Triticum aestivume2 - Interactor
- stripe ruste2pathogen
- Outcome
- superioritye1
- Direction
- superioritye1
- Comparator
- singlee1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e2“All experiments are based on forecasting wheat stripe rust disease”
e1“Comparison between single and multi population shows superiority of the latter”
Claim · model-written summary
Frequent communication between subpopulations with only a few migrating individuals gives optimal solutions in wheat stripe rust forecasting.
- Taxon
- wheat
Triticum aestivume2 - Outcome
- keep communicating oftene3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e2“All experiments are based on forecasting wheat stripe rust disease”
e3“Study of migration interval and migration rate draws the conclusion that it is helpful to obtain optimal solutions that subpopulations keep communicating often and only a few of individuals migrate when communicating”
Claim · model-written summary
Multipopulation genetic programming shows good prediction of wheat stripe rust.
- Taxon
- wheat
Triticum aestivume2 - Outcome
- predictione4
- Qualifier
- goode4
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e2“All experiments are based on forecasting wheat stripe rust disease”
e4“MGP shows good prediction”