{"title":"Introduction to evolution strategies","authors":"Thomas Bäck","doi":"10.1145/2598394.2605337","DOIUrl":null,"url":null,"abstract":"This tutorial gives a basic introduction to evolution strategies, a class of evolutionary algorithms. Key features such as mutation, recombination and selection operators are explained, and specifically the concept of self-adaptation of strategy parameters is introduced. All algorithmic concepts are explained to a level of detail such that an implementation of basic evolution strategies is possible. In addition, the tutorial also presents a brief taxonomy of contemporary evolution strategy variants, including e.g. the CMA-ES and variations thereof, and compares their performance for a small number of function evalutions - which represents many of today's practical application cases. Some guidelines for utilization as well as some application examples are also given.","PeriodicalId":298232,"journal":{"name":"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2598394.2605337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

This tutorial gives a basic introduction to evolution strategies, a class of evolutionary algorithms. Key features such as mutation, recombination and selection operators are explained, and specifically the concept of self-adaptation of strategy parameters is introduced. All algorithmic concepts are explained to a level of detail such that an implementation of basic evolution strategies is possible. In addition, the tutorial also presents a brief taxonomy of contemporary evolution strategy variants, including e.g. the CMA-ES and variations thereof, and compares their performance for a small number of function evalutions - which represents many of today's practical application cases. Some guidelines for utilization as well as some application examples are also given.
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进化策略简介
本教程给出了进化策略的基本介绍,这是一类进化算法。解释了变异算子、重组算子和选择算子等关键特征,具体介绍了策略参数自适应的概念。所有的算法概念都被详细地解释了,这样就可以实现基本的进化策略。此外,本教程还简要介绍了当代进化策略变体的分类,包括例如CMA-ES及其变体,并比较了它们在少数函数评估中的性能——这些函数评估代表了当今许多实际应用案例。给出了一些使用指南和一些应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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