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.
PDF.
Filename: Di_Carlo_M_et_al_Pure_Multi_population_adaptive_inflationary_differential_evolution_Sep_2014.pdf
Accepted Author Manuscript Download (191kB) |
Abstract
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.
ORCID iDs
Di Carlo, Marilena ORCID: https://orcid.org/0000-0001-5046-3028, Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465 and Minisci, Edmondo ORCID: https://orcid.org/0000-0001-9951-8528;-
-
Item type: Conference or Workshop Item(Paper) ID code: 49369 Dates: DateEvent13 September 2014PublishedSubjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. AstronauticsDepartment: Faculty of Engineering > Mechanical and Aerospace Engineering
Technology and Innovation Centre > Advanced Engineering and ManufacturingDepositing user: Pure Administrator Date deposited: 25 Sep 2014 13:23 Last modified: 11 Nov 2024 16:42 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/49369