Adaptation in the differential evolution

Abstract

This chapter gives an overview of Differential Evolution (DE), then presents adaptive and self-adaptive mechanisms within the DE algorithm. They can be used in order tomake a DE solver more robust, efficient, etc., and to overcome parameter tuning which is usually a timeconsuming task needed to be done before the actual optimization process starts. Literature overviews of adaptive and self-adaptive mechanisms are mainly focused on mutation and crossover DE operations, but less on population size adaptation. Some experiments have been performed on benchmark functions to present both the advantages and disadvantages of using self-adaptive mechanisms.