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Non-dominated Sorting Genetic Algorithm-II

model
posted on 2024-02-13, 13:39 authored by The Forage Seed and Cereal Research

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).


Resources in this dataset:

Funding

USDA-ARS

History

Data contact name

Whittaker, Gerald

Data contact email

whittakg@onid.orst.edu

Publisher

United States Department of Agriculture

Theme

  • Not specified

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

computer software; algorithms; operations research; population size; progeny; evolution; multi-criteria decision making

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

The Forage Seed and Cereal Research (2019). Non-dominated Sorting Genetic Algorithm-II. United States Department of Agriculture.

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    Categories

    Keywords

    computer softwarealgorithmsoperations researchpopulation sizeprogenyevolutionmulti-criteria decision making

    Licence

    CC0

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