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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "genetic.algo.optimizeR" in publications use:'
type: software
license: MIT
title: 'genetic.algo.optimizeR: Genetic Algorithm Optimization'
version: 0.3.2
doi: 10.32614/CRAN.package.genetic.algo.optimizeR
abstract: Genetic algorithm are a class of optimization algorithms inspired by the
  process of natural selection and genetics. This package is for learning purposes
  and allows users to optimize various functions or parameters by mimicking biological
  evolution processes such as selection, crossover, and mutation. Ideal for tasks
  like machine learning parameter tuning, mathematical function optimization, and
  solving an optimization problem that involves finding the best solution in a discrete
  space.
authors:
- family-names: Mukesha
  given-names: Dany
  email: danymukesha@gmail.com
  orcid: https://orcid.org/0009-0001-9514-751X
repository: https://danymukesha.r-universe.dev
repository-code: https://github.com/danymukesha/genetic.algo.optimizeR
commit: 1a2a1a18993d6223c60b63b8c4d096e95e914668
url: https://danymukesha.github.io/genetic.algo.optimizeR/
contact:
- family-names: Mukesha
  given-names: Dany
  email: danymukesha@gmail.com
  orcid: https://orcid.org/0009-0001-9514-751X