luis ariza

Congratulations!  You have been automatically subscribed to IEEE DataPort and can access all datasets on IEEE DataPort!
First Name: 
luis
Last Name: 
ariza

Datasets & Analysis

This paper presents a fast and open source extension based on the NSGA-II code stored in the repository of the Kanpur Genetic Algorithms Laboratory (KanGAL) and the adjustment of the selection operator. It slightly modifies existing well-established genetic algorithms for many-objective optimization called the NSGA-III, the adaptive NSGA-III (A-NSGA-III), and the efficient adaptive NSGA-III,  (A$^2$-NSGA-III).

  • Computational Intelligence
  • Last Updated On: 
    Tue, 04/23/2019 - 22:34