Evolutionary computation

Genetic programming

Algorithm

Machine learning

Optics

Physics

Evolutionary programming

Interactive evolutionary computation

Artificial intelligence

Evolutionary music

Evolutionary algorithm

Focus (optics)

Computer science

Genetic representation

Computational Science and Engineering

Differential evolution

Neural Computing and Applications

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.

Evolutionary algorithms and their applications to engineering problems