Evolutionary algorithms and their applications to engineering problems

• Published in: Neural computing & applications Vol. 32; no. 16; pp. 12363 - 12379
• Main Authors: Slowik, Adam, Kwasnicka, Halina
• Format: Journal Article
• Language: English
• Published: London Springer London 01.08.2020; Springer Nature B.V
• Subjects: Artificial Intelligence; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Data Mining and Knowledge Discovery; Evolutionary algorithms; Evolutionary computation; Genetic algorithms; Image Processing and Computer Vision; Probability and Statistics in Computer Science; Programming languages; Review Article; Evolution strategy; Evolutionary programming; Genetic algorithm; Genetic programming; Real-life applications; Differential evolution; Nature-inspired methods

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 pseu...