Behavior of crossover operators in NSGA-III for large-scale optimization problems
Behavior of crossover operators in NSGA-III for large-scale optimization problems is a scholarly work, published in 2020 in ''Information Sciences''. The main subjects of the publication include optimization problem, swarm intelligence, sorting, genetic programming, evolutionary algorithm, algorithm, multi-objective optimization, mathematical optimization, scale, genetic algorithm, computer science, and crossover (genetic algorithm). Experimental results indicate that the NSGA-III methods with UC and UC-Stud (UCS) outperform the other developed variants.