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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:

Resource Title: Non-dominated Sorting Genetic Algorithm-II.

File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=393&modecode=20-72-05-00
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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

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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Keywords

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

Licence

CC0

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