| 书目名称 | Evolutionary Computation Techniques: A Comparative Perspective |
| 编辑 | Erik Cuevas,Valentín Osuna,Diego Oliva |
| 视频video | |
| 概述 | Compares various evolutionary computation (EC) techniques when they face complex optimization problems extracted from different engineering domains.Poses a complex engineering optimization problem in |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently. Several comparisons among EC techniques have been reported in the literature, however, they all suffer from one limitation: their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. In each chapter, a complex engineering optimization problem is posed, and then a particular EC technique is presented as the best choice, according to its search characteristics. Lastly, a set of experiments is conducted in order to compare its performance to other popular EC methods. |
| 出版日期 | Book 2017 |
| 关键词 | Evolutionary Computation Methods; Evolutionary Computation Techniques Comparison; EC for Complex Optim |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-51109-2 |
| isbn_softcover | 978-3-319-84568-5 |
| isbn_ebook | 978-3-319-51109-2Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing AG, part of Springer Nature 2017 |
发表于 2025-3-21 16:45:44
