Evolutionary algorithms and their applications to engineering problems

Author:

Slowik Adam,Kwasnicka Halina

Abstract

AbstractThe 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.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference121 articles.

1. Holland JH (1975) Adaptation in natural and artificial systems. MIT Press, Cambridge

2. Koza J (1992) Genetic programming: on the programming of computers by means of natural selection. MIT Press, Cambridge

3. Storn R, Price K (1997) Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11:341–359

4. Rechenberg I (1973) Evolutionstrategie: optimierung technischer systeme nach prinzipien der biologischen evolution. Frommann-Holzboog Verlag, Stuttgart

5. Fogel LJ, Owens AJ, Walsh MJ (1966) Artificial intelligence thorough simulated evolution. Wiley, New York

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