| 书目名称 | Designing Evolutionary Algorithms for Dynamic Environments |
| 编辑 | Ronald W. Morrison |
| 视频video | |
| 概述 | The first book focusing on robustness, stability, and performance of EAs in dynamic environments.Includes supplementary material: |
| 丛书名称 | Natural Computing Series |
| 图书封面 |  |
| 描述 | The robust capability of evolutionary algorithms (EAs) to find solutions to difficult problems has permitted them to become popular as optimization and search techniques for many industries. Despite the success of EAs, the resultant solutions are often fragile and prone to failure when the problem changes, usually requiring human intervention to keep the EA on track. Since many optimization problems in engineering, finance, and information technology require systems that can adapt to changes over time, it is desirable that EAs be able to respond to changes in the environment on their own. This book provides an analysis of what an EA needs to do to automatically and continuously solve dynamic problems, focusing on detecting changes in the problem environment and responding to those changes. In this book we identify and quantify a key attribute needed to improve the detection and response performance of EAs in dynamic environments. We then create an enhanced EA, designed explicitly to exploit this new understanding. This enhanced EA is shown to have superior performance on some types of problems. Our experiments evaluating this enhanced EA indicate some pre viously unknown relations |
| 出版日期 | Textbook 2004 |
| 关键词 | Adaptive Algorithms; Dynamic Systems; Evolutionary Algorithms; Evolutionary Programming; Fitness Landsca |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-06560-0 |
| isbn_softcover | 978-3-642-05952-0 |
| isbn_ebook | 978-3-662-06560-0Series ISSN 1619-7127 Series E-ISSN 2627-6461 |
| issn_series | 1619-7127 |
| copyright | Springer-Verlag Berlin Heidelberg 2004 |
发表于 2025-3-21 17:45:25
