| 书目名称 | Stable Mutations for Evolutionary Algorithms |
| 编辑 | Andrzej Obuchowicz |
| 视频video | |
| 概述 | Collects recent research on stable mutations for evolutionary algorithms.Presents theoretical analysis and simulation experiments, selected and constructed to expose the most important features of the |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .This book presents a set of theoretical and experimental results that describe the features of the wide family of α-stable distributions (the normal distribution also belongs to this class) and their various applications in the mutation operator of evolutionary algorithms based on real-number representation of the individuals, and, above all, equip these algorithms with features that enrich their effectiveness in solving multi-modal, multi-dimensional global optimization problems. The overall conclusion of the research presented is that the appropriate choice of probabilistic model of the mutation operator for an optimization problem is crucial..Mutation is one of the most important operations in stochastic global optimization algorithms in the n-dimensional real space. It determines the method of search space exploration and exploitation. Most applications of these algorithms employ the normal mutation as a mutation operator. This choice is justified by the central limit theorem but is associated with a set of important limitations. Application of α-stable distributions allows more flexible evolutionary models to be obtained than those with the normal distribution. The book prese |
| 出版日期 | Book 2019 |
| 关键词 | Computational Intelligence; Stable Mutations for Evolutionary Algorithms; Intelligent Systems; Evolutio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-01548-0 |
| isbn_softcover | 978-3-030-13184-5 |
| isbn_ebook | 978-3-030-01548-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 16:47:41
