Multi-population adapative inflationary differential evolution

Di Carlo, Marilena and Vasile, Massimiliano and Minisci, Edmondo (2014) Multi-population adapative inflationary differential evolution. In: Bio-inspired Optimization Methods and their Applications, BIOMA 14, 2014-09-13 - 2014-09-13.

[thumbnail of Di Carlo M et al - Pure - Multi-population adaptive inflationary differential evolution Sep 2014] PDF. Filename: Di_Carlo_M_et_al_Pure_Multi_population_adaptive_inflationary_differential_evolution_Sep_2014.pdf
Accepted Author Manuscript

Download (191kB)


In this paper, a multi-population version of Adaptive Inflationary Differential Evolution, which automatically adapts the crossover probability and the differential weight of the Differential Evolution, is presented. The multi-population algorithm exploits the use of different populations, and the local minima found by each population, to assess the distance between minima; a probabilistic kernel based approach is then used to automatically adapt the dimension of a bubble in which the population is re-initialized after converging to a local minimum. The algorithm is tested on two real case functions and on two difficult academic functions.