Revisiting the distribution index in simulated binary crossover operator for evolutionary multiobjective optimisation algorithms
Mohammad Hamdan · 2014
The simulated binary crossover operator is an important variation operator in evolutionary algorithms. The experimental results reported in this work are a detailed study for the distribution index parameter of this operator. The results are for NSGAII algorithm. The results are interesting regarding three metrics: hypervolume, inverted generational distance and spread.