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Non-dominated Sorting Genetic Algorithm-II

This code is implements the nondominated sorting genetic algorithm (NSGA-II) in the R statistical programming language. The function is theoretically applicable to any number of objectives without modification. The function automatically detects the number of objectives from the population matrix used in the function call. NSGA-II has been applied in ARS research for automatic calibration of hydrolgic models (whittaker link) and economic optimization (whittaker link).

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FieldValue
Modified
2019-08-05
Release Date
2019-05-02
Identifier
156ecd95-740e-45f9-af95-df82df9deda6
Publisher
United States Department of Agriculture
License
Creative Commons CCZero
Contact Name
Whittaker, Gerald
Contact Email
whittakg@onid.orst.edu
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service
Extended Metadata: 
FieldValue
Authors
The Forage Seed and Cereal Research
Peer Reviewed
No
Funding Sources
Agricultural Research Service
Primary Article

Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182-197. https://doi.org/10.1109/4235.996017
Product Type
Model
FieldValue
ISO Topic(s)
biota
National Agricultural Library Thesaurus Term
computer software
algorithms
operations research
population size
progeny
evolution
multi-criteria decision making
Ag Data Commons Keywords
  • Genomics & Genetics

Suggested Citations:

(original article) Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2), 182-197. https://doi.org/10.1109/4235.996017

(dataset) The Forage Seed and Cereal Research (2019). Non-dominated Sorting Genetic Algorithm-II. United States Department of Agriculture. https://data.nal.usda.gov/dataset/non-dominated-sorting-genetic-algorithm-ii. Accessed 2023-11-28.