| 书目名称 | Stochastic Global Optimization |
| 编辑 | Anatoly Zhigljavsky,Antanas Žilinskas |
| 视频video | |
| 概述 | Provides reader with a methodological and theoretical basis for developing and investigating optimization heuristics.Summarizes basic ideas and presents recent progress and new results.Includes an ext |
| 丛书名称 | Springer Optimization and Its Applications |
| 图书封面 |  |
| 描述 | This book aims to cover major methodological and theoretical developments in the ?eld of stochastic global optimization. This ?eld includes global random search and methods based on probabilistic assumptions about the objective function. We discuss the basic ideas lying behind the main algorithmic schemes, formulate the most essential algorithms and outline the ways of their theor- ical investigation. We try to be mathematically precise and sound but at the same time we do not often delve deep into the mathematical detail, referring instead to the corresponding literature. We often do not consider the most g- eral assumptions, preferring instead simplicity of arguments. For example, we only consider continuous ?nite dimensional optimization despite the fact that some of the methods can easily be modi?ed for discrete or in?nite-dimensional optimization problems. The authors’ interests and the availability of good surveys on particular topics have in uenced the choice of material in the book. For example, there are excellent surveys on simulated annealing (both on theoretical and - plementation aspects of this method) and evolutionary algorithms (including genetic algorithms). We thu |
| 出版日期 | Book 2008 |
| 关键词 | SOIA; algorithms; global optimization; optimization; population-based methods; random search; statistical |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-74740-8 |
| isbn_softcover | 978-1-4419-4485-6 |
| isbn_ebook | 978-0-387-74740-8Series ISSN 1931-6828 Series E-ISSN 1931-6836 |
| issn_series | 1931-6828 |
| copyright | Springer-Verlag US 2008 |
发表于 2025-3-21 19:09:41
