Differential Evolution: A survey of theoretical analyses
Karol Opara , Jarosław Arabas
AbstractDifferential Evolution (DE) is a state-of-the art global optimization technique. Considerable research effort has been made to improve this algorithm and apply it to a variety of practical problems. Nevertheless, analytical studies concerning DE are rather rare. This paper surveys the theoretical results obtained so far for DE. A discussion of genetic operators characteristic of DE is coupled with an overview of the population diversity and dynamics models. A comprehensive view on the current-day understanding of the underlying mechanisms of DE is complemented by a list of promising research directions.
|Journal series||Swarm and Evolutionary Computation, ISSN 2210-6502, (A 50 pkt)|
|Publication size in sheets||0.6|
|Keywords in English||DE population dynamics; Diversity; Convergence; Global optimization; Evolutionary algorithm|
|project||Development of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Arabas Jarosław,
, Phone: +48 22 234 7432, start date 01-08-2018, planned end date 30-09-2019, II/2018/DS/1, Implemented
|Score|| = 50.0, 30-04-2019, ArticleFromJournal|
= 50.0, 22-04-2019, ArticleFromJournal
|Publication indicators||= 3; : 2016 = 2.756; : 2017 = 3.818 (2) - 2017=4.607 (5)|
|Citation count*||7 (2019-06-14)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.