nsga2R: Elitist Non-Dominated Sorting Genetic Algorithm

Box-constrained multiobjective optimization using the elitist non-dominated sorting genetic algorithm - NSGA-II. Fast non-dominated sorting, crowding distance, tournament selection, simulated binary crossover, and polynomial mutation are called in the main program. The methods are described in Deb et al. (2002) <doi:10.1109/4235.996017>.

Package details

AuthorChing-Shih (Vince) Tsou <cstsou@mail.ntcb.edu.tw>
MaintainerMing-Chang (Alan) Lee <alan9956@ydu.edu.tw>
Package repositoryView on CRAN
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nsga2R documentation built on May 23, 2022, 5:06 p.m.