luis ariza

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First Name: 
luis
Last Name: 
ariza
Affiliation: 
Universidad Nacional de Colombia
Job Title: 
PhD student
Expertise: 
Telecommunications, 5G, and evolutionary computation

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).

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  • Computational Intelligence
  • Last Updated On: 
    Mon, 11/18/2019 - 13:30