| 书目名称 | Modern Optimization with R |
| 编辑 | Paulo Cortez |
| 视频video | |
| 概述 | Covers use of software language R for a spectrum of modern optimization methods.Includes exercise sets and solutions.Suitable for undergraduate and graduate students in Computer Science and Informatio |
| 丛书名称 | Use R! |
| 图书封面 |  |
| 描述 | The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in computer science, information technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R..This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel compu |
| 出版日期 | Book 2021Latest edition |
| 关键词 | R statistical tool; evolutionary computation; metaheuristics; particle swarm optimization; simulated ann |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-030-72819-9 |
| isbn_softcover | 978-3-030-72818-2 |
| isbn_ebook | 978-3-030-72819-9Series ISSN 2197-5736 Series E-ISSN 2197-5744 |
| issn_series | 2197-5736 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:52:39
