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.

中文翻译：

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进化算法及其在工程问题中的应用

摘要

本文的主要重点是进化算法及其实际应用。我们提出以下算法：遗传算法，遗传规划，差分进化，进化策略和进化规划。每种技术都以伪代码形式表示，可以方便地在任何编程语言中使用。我们介绍了本文介绍的每种算法的主要属性。我们还展示了许多最新的实际应用和对早期进化方法的修改。开放性研究问题是针对进化算法系列的。