An Analysis on Selection for High-Resolution Approximations in   Many-Objective Optimization
  This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms generating a high-resolution approximation of the Pareto optimal set. Several search-assessment indicators are defined to trace the dynamics of survival selection and measure the ability to simultaneously keep optimal solutions and discover new ones under different population sizes, set as a fraction of the size of the Pareto optimal set. 
Hernan Aguirre, Arnaud Liefooghe (INRIA Lille - Nord Europe, LIFL),   S\'ebastien Verel (LISIC), Kiyoshi Tanaka
cs.NE