Self-adaptive simulated binary crossover for real-parameter optimization

By Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe. Annual Conference on Genetic and Evolutionary Computation, 2007

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Multiobjective Multifactorial Optimization in Evolutionary Multitasking (2017, background): “A salient property of the SBX operator, which happens to be of interest in the process of multitasking, is that it creates offspring that are located in close proximity of the parents with high probability [38], [39].”
Pymoo: Multi-Objective Optimization in Python (2020, methodology): “For real variables, Simulated Binary Crossover [13] is known to be an eﬃcient crossover.”