1 research outputs found
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.Comment: apperas in Parallel Problem Solving from Nature - PPSN XIII,
Ljubljana : Slovenia (2014