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Evolutionary algorithms and their applications to engineering problems.

Authors :
Slowik, Adam
Kwasnicka, Halina
Source :
Neural Computing & Applications. Aug2020, Vol. 32 Issue 16, p12363-12379. 17p.
Publication Year :
2020

Abstract

The main focus of this paper is on the family of evolutionary algorithms and their real-life applications. We present the following algorithms: genetic algorithms, genetic programming, differential evolution, evolution strategies, and evolutionary programming. Each technique is presented in the pseudo-code form, which can be used for its easy implementation in any programming language. We present the main properties of each algorithm described in this paper. We also show many state-of-the-art practical applications and modifications of the early evolutionary methods. The open research issues are indicated for the family of evolutionary algorithms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09410643
Volume :
32
Issue :
16
Database :
Academic Search Index
Journal :
Neural Computing & Applications
Publication Type :
Academic Journal
Accession number :
144745088
Full Text :
https://doi.org/10.1007/s00521-020-04832-8