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danymukesha
genetic.algo.optimizeR:Genetic Algorithm Optimization
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.
Maintained by Dany Mukesha. Last updated 6 months ago.
4.30 score 10 scripts
cran
socialh:Rank and Social Hierarchy for Gregarious Animals
Tools developed to facilitate the establishment of the rank and social hierarchy for gregarious animals by the Si method developed by Kondo & Hurnik (1990)<doi:10.1016/0168-1591(90)90125-W>. It is also possible to determine the number of agonistic interactions between two individuals, sociometric and dyadics matrix from dataset obtained through electronic bins. In addition, it is possible plotting the results using a bar plot, box plot, and sociogram.
Maintained by Julia de Paula Soares Valente. Last updated 2 years ago.
2.00 score