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Tournaments are played among several solutions. The best one is chosen according to their nondomination levels and crowding distances. And it is placed in the mating pool.
● Data Source:
CranContrib
● Keywords:
● Alias: tournamentSelection
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A fast and elitist multiobjective genetic algorithm based on R.
● Data Source:
CranContrib
● Keywords: optimize
● Alias: nsga2R
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Functions for box-constrained multiobjective optimization using the elitist non-dominated sorting genetic algorithm - NSGA-II.
● Data Source:
CranContrib
● Keywords:
● Alias: nsga2R-package
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A fast approach to sort non-dominated solutions into different nondomination levels.
● Data Source:
CranContrib
● Keywords:
● Alias: fastNonDominatedSorting
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This function estimates the density of solutions surrounding a particular solution within each front. It calculates the crowding distances of solutions according to their objectives and those within the same front.
● Data Source:
CranContrib
● Keywords:
● Alias: crowdingDist4frnt
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The simulated binary crossover operator is a real-parameter genetic operator. It simulates the working principal of the single-point crossover operator on binary strings.
● Data Source:
CranContrib
● Keywords:
● Alias: boundedSBXover
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The bounded polynomial mutation operator is a real-parameter genetic operator. Like in the simulated binary crossover operator, the probability distribution is also a polynomial function instead of a normal distribution.
● Data Source:
CranContrib
● Keywords:
● Alias: boundedPolyMutation
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providing 
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